Jobs

These are jobs currently available in the BCI Community.  They are sorted with the most recently posted jobs listed first.

Doctoral Candidate (PhD Student) PRIDE Fellow

 

The University of Luxembourg (UL) and Luxembourg Institute of Socio-Economic Research (LISER) invite applications for a DRIV EN PhD Fellow (Doctoral Candidate) position (m/f) as part of the DRIVEN Doctoral Training Unit (https://driven.uni.lu), consisting of 19 doctoral candidates. DRIVEN is funded by the FNR PRIDE
funding instrument https://www.fnr.lu/funding-instruments/pride/.
Doctoral c andidate (PHD student) PRIDE Fellow
Ref: 50013498/R-AGR-3440-23-C
Fixed term contract 36 months – PhD research project.Employee and student status.
Enrollment in the DRIVEN Doctoral Training Unit.

Your Role
You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE scheme. The Computational and Data DRIVEN Science DTU will train a cohort of 19 Doctoral Candidates who will develop data driven modelling approaches common to a number of applications strategic to the Luxembourgish Research Area and Luxembourg’s Smart Specialisation Strategies. DRIVEN will build a bridge between state-of-the-art data driven modelling approaches and particular application domains, including Computational Physics and Engineering Sciences, Computational Biology and Life Sciences, and Computational Behavioural and Social Sciences.
Research Direction
Optimization of neurofeedbac k treatments for patients after stroke. Biofeedback involves the electronic
monitoring and online feedback of normally automatic bodily functions to train voluntary control of these functions. Neurofeedback using brain-computer interfaces
allows users to control a computer application by brain activity by electroencephalogram.
Although these interventions have been shown to improve neurophysiological, cognitive and behavioural outcomes for some specific neurological disorders, they have largely been experimental so far.

Objectives

to apply machine learning and/or Bayesian updating methods to an existing clinical dataset (collected from stroke patients) to

(a) develop models that provide a better fit of treatment modality to symptom presentation leading to optimisation of treatment success; (b) identify patient characteristics that best predict optimal treatment
outcome;

(c) model the course of treatment.

Supervision
Your lead supervisor will be Prof. Dr. Claus Vögele (Psychology). Further supervision will be provided by Prof. Dr. Stéphane Bordas (Computational Engineering) and Prof. Dr. Jorge Gonçalves (Systems Control).
Your Profile
Master’s degree in Psychology and/or (Computational) Neurosciences.
Good English language skills. French and/or German language skills will be an asset.
Willingness to work in an inter-cultural and international environment.
Ability to work independently and as part of a team.
Curiosity and self-motivation.
We offer
A dynamic and well-equipped research environment within the research unit INSIDE.
Intensive training in scientific and transferable skills, participation in schools. conferences and
workshops.
Fixed term employee contracts totalling 48 months, subject to review, at UL.
Enrollment as a PhD student in the DRIVEN Training Unit, within the UL doctoral school in Humanities
and Social Sciences.
Personal work space at UL
Job description
Your primary tasks as a DRIVEN fellow are to:
Manage and drive forward your research project.
Attend doctoral school courses, trainings and social events.
Write scientific articles and your PhD thesis.
Disseminate your research at conferences and seminars.

Gender policy
UL strives to increase the proportion of female PhD students in its faculties. Therefore, we explicitly encourage
women to apply.

Application submission
Before proceeding with the submission of your application, please prepare the following documents:
Curriculum vitae (maximum two pages)
Motivation letter (maximum two pages) detailing how you meet the selection criteria for the given research direction. Publication list (if any) and PDFs of those publications. Master’s thesis (final or draft, if draft, then state the expected submission date)Full contact details of two persons willing to act as referees.
Copies of diplomas, transcripts with grades, with English, French or German translation.

All documents should be uploaded in PDF format via the online submission system (no applications via email, please). Please note that incomplete applications will not be considered.

PhD student on
the topic “Brain-Computer Interfaces for Attention-driven Augmented
Reality Interfaces”

At the Cognitive Systems Lab, University of Bremen, Germany, we offer a fully funded reseach assistant position (36 months) for a PhD
student on the topic “Brain-Computer Interfaces for Attention-driven Augmented Reality Interfaces”.

Augmented reality (AR) glasses enable the embedding of visual content in a real scene. In this project, we will implement user interfaces which adapt to the user, for example by avoiding distractions or directing the user’s attention towards missed information. For this purpose, the user’s attention is captured from sensor data (via EEG and eye tracking) and modeled with machine learning techniques.
Building on existing models and interfaces, the task is to build
models for estimation of a person’s attention from fusion and
classification of multimodal data streams and context information as
well as their evaluation in user studies. An additional task is to
develop prototypical user interfaces for AR glasses and to test their
usability. Furthermore, the position involves a small teaching load in
the context of Human-Computer Interaction and machine learning.

To apply, send your CV, a motivation letter, and relevant certificates
to felix.putze@uni-bremen.de no later than June 22nd. You can also
contact my by e-mail if you have any questions regarding the position.

More information can also be found in the official job posting at this link:
Job Posting

Phd Student Position

The Schools of Computer Science and Electronic Engineering and Psychology in the Faculty of Science and Health at the University of Essex is pleased to announce a PhD studentship available in ‘Learning to move: exploring neural signatures of motor learning for brain-computer interfacing’.

This studentship will start from 14 January 2019 and the successful applicant will receive a scholarship for three years (subject to satisfactory progression).

The studentship includes:

  • a fee waiver equal to the Home/EU fee (for 2018/19, £ £4,410). International students will need to pay the balance of their fees.
  • a stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£14,777 in 2018-19)

Brain-computer interfaces (BCIs) have the potential to help movement rehabilitation. However, one problem with this technology stems from our incomplete understanding of how our brains change as we learn to move. This means current BCI protocols are based on static neural markers of movement production, which are, in reality, constantly changing.

This studentship will begin by investigating the neural basis of motor learning. We will then apply this knowledge to create more effective BCI protocols for movement rehabilitation.

Please address any additional questions and queries about the studentship to: Dr Ian Daly (CSEE) (i.daly@essex.ac.uk) and Dr Gethin Hughes (PSYCH) (ghughes@essex.ac.uk)

Entry Requirements

The successful candidate would be expected to speak fluent English and meet our English Language requirements, and will have a good honours BSc or BEng degree
(1st, 2:1, or equivalent) in computer science, electronic engineering, mathematics, biological sciences, Psychology, Neuroscience, or a related subject.

An MSc with Merit or Distinction is desirable (but not essential for students with a first class degree). Strong analytical and mathematical skills are required, as well as good programming skills. Knowledge of signal processing, machine learning, and/or neuroimaging (EEG, fNIRS etc.) are desirable but not essential.

How to Apply

  • To be considered for this Scholarship applicants are required to apply for their PHD course in the usual way via the University of Essex online admissions application process here: website, (including uploading all supporting documents required) by the deadline of Friday 20 July 2018. Please note that only complete PHD applications will be considered along with the departmental scholarship application form.
  • Please note on your PG Admissions application form in the ‘Proposed research topic or area of research’ field that you wish to apply for this scholarship, quoting Ref CSEE/OCT18/01.

In addition to your main online PHD application, you are also required to submit a separate departmental scholarship application form, which can be accessed here https://www.essex.ac.uk/-/media/documents/departments/csee/studentships/csee-studentship-application-2019.docx  and submit separately to: csee-schooloffice@essex.ac.uk by the deadline of Friday 20 July  2018, quoting Ref (CSEE/PSYCH/JAN19/02).

  • Successful applicants will be informed of the outcome of their application for their PHD course and the scholarship award by the end of September 2018.

For further information on our current areas of research please refer to our research interests and staff profiles: https://www.essex.ac.uk/departments/computer-science-and-electronic-engineering/people/academic and https://www1.essex.ac.uk/psychology/research/groups.aspx .

If you have a disability and would like this information in a different format please tel: (01206) 873521/874588.

Postdoctoral Position in Brain-Computer Interfaces

The research group Dr. Tomislav Milekovic at the University of Geneva is offering a postdoctoral position financed by the Wyss Center for Bio and Neuroengineering and the Swiss National Science Foundation for up to two years to work on restoring communication and independence of people with tetraplegia and locked-in syndrome using brain-computer interfaces.
The successful applicant will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. These brain-computer interfaces will utilize adaptive decoders in order to restore independence of people with locked-in syndrome.
The ideal candidate will have:

  1. Experience in assembling and maintaining brain-computer interface systems
  2. Leading brain-computer interface experiments with human or animal subjects
  3. Experience in the quantitative analysis of electrophysiological neural signals (EEG, ECoG, LFP, spikes)
  4. Background in computational/theoretical neuroscience, physics or mathematics
  5. Experience in developing and using neural decoders
  6. Experience in C/C++ software development

The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. They will collaborate with several labs of the newly founded Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue.

University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking amongst the highest in the world.
Applications including a CV, statement of research interests, and the names and full contact details of two referees should be sent to tomislav.milekovic@unige.ch

 

Lecturer in Brain-Computer Interfaces and Neural Engineering, CSEE

The School of Computer Science and Electronic Engineering (CSEE) is a large and vibrant department in the Faculty of Science and Health.  CSEE is internationally known for its research in a range of areas, and offers an excellent education to its students.  The School is expanding, due to increasing student numbers and now wishes to appoint additional lecturers to help us grow.

Within CSEE, the Essex Brain-Computer Interfaces and Neural Engineering laboratory was founded in 2004 and is today one of the largest and best equipped in Europe and the top laboratory for non-invasive BCIs and human cognitive augmentation in the UK. For over a decade, the lab has produced highly visible internationally leading research, peer reviewed publications and frequent media presence, with international collaborators at MIT, NASA JPL, ESA, Harvard, UCB, etc.

The lab has received more funding from EPSRC than any other BCI lab in the UK. In the area of BCI-assisted decision making the lab has obtained funding for approximately GBP 1.6M from the UK’s Ministry of Defence since 2013, with MoD currently funded projects ongoing until 2021.

Duties of the Role

The successful candidate will be expected to deliver excellent research and teaching, generate research income, to contribute to the administration and management of the School, and to the local, regional and international profile of the Department.

We wish to enhance the School’s existing research as well as open up and develop new research activities that will become recognized as outstanding and internationally leading.  The post will include teaching on our courses at undergraduate and/or postgraduate level.  This may include delivering existing modules, developing new modules and generally enhancing our research-led teaching.  We aim for excellence in education as well as research and are looking for candidates who can contribute to both

Skills and qualifications required

The successful candidate will have a PhD and relevant academic expertise in brain-computer interfaces, neural engineering, biomedical engineering or neuro-ergonomics with experience in other related areas including (but not limited to): computer science, machine learning, artificial intelligence, neuroscience and cognitive science.  They must also have fellowship of the Higher Education Academy, or the ability to gain professional recognition at this or a higher level if appropriate.  Candidates will have proven experience in teaching at undergraduate and/or postgraduate levels, and of designing and planning learning activities.  Candidates must also be able to demonstrate evidence of a clear publication plan for submission to future Research Excellence Framework (REF) programmes, and evidence of a research agenda, engagement in high-quality research activity and a developing research profile.

We particularly welcome applications from those who identify as non-binary as they are underrepresented in this school.

At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.

Please see the further detail link below for a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application.  Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 874588 / 873461 / 873521).

For more details: Lecturer in Brain-Computer Interfaces and Neural Engineering

Application Deadline: 5/31/18

Postdoctoral Position in Clinical Neuroengineering

University of Geneva

The lab of Prof. Michel at the University of Geneva is offering a
postdoctoral position financed by the Swiss National Science
Foundation for up to two years to work on clinical neuroengineering
projects aimed at restoring communication and independence of people with tetraplegia and locked-in syndrome using brain-controlled assistive devices and prostheses.

The successful applicant will be supervised by Dr. Tomislav Milekovic, a junior group leader under the senior supervision of Prof. Christoph Michel. They will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. These brain-computer interfaces will utilize adaptive decoders in order to restore independence of people with locked-in syndrome.

The ideal candidate will have:
1. Background in computational/theoretical neuroscience, physics or mathematics

2. Experience in the quantitative analysis of electrophysiological
neural signals (EEG, ECoG, LFP, spikes)

3. Experience in assembling and maintaining brain-computer interface systems

4. Leading brain-computer interface experiments with human or animal subjects

5. Experience in developing and using neural decoders

6. Experience in C/C++ software development

The qualified candidate will benefit from joining a very dynamic and
multidisciplinary group working at the interface of neuroscience,
engineering and prosthetics. They will collaborate with several labs
of the newly founded Campus Biotech in Geneva, and be strongly
supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In
addition, University of Geneva offers competitive postdoctoral
salaries ranking amongst the highest in the world.

Applications including a CV, statement of research interests, and the
names and full contact details of two referees should be sent to
tomislav.milekovic@unige.ch.

University Assistant

Graz University of Technology

 

Job Title and overview: University assistant for 4 years, 40 hours/week, expected from 1 July 2018, at the Institute of Neural Engineering.

Admission requirements: University degree in Information & Computer Engineering, or Biomedical Engineering, or comparable studies.

Desired qualifications: Experience in biosignal processing, feature
extraction and pattern recognition; knowledge of source localization
based on multi-channel EEG derivatives; experience in the field of
Brain-Computer Interface (BCI); very good knowledge of English and team skills; knowledge of Windows/Linux operating systems; interest in doing a PhD. Collaboration in teaching. Willingness to mobility (work in international projects, conferences, etc.).

Salary classification: B 1 according to collective agreement for
university employees; the monthly minimum remuneration for this
position is currently € 2,794.60 gross (14 times per year) and may
be increased on the basis of the collective agreement provisions by
crediting job-specific previous and other salary components associated with the particularities of the job.

Applications, curriculum vitae and other documents must be sent
electronically to informatik@tugraz.at with the precise reference
number, and must be received by the end of the application period at
the latest. For questions about the position, please email gernot.mueller@tugraz.at.

Application deadline: 15 April 2018
Reference number: 7090/18/003

Postdoctoral Researcher

University of Louisville Neurosurgery

A postdoctoral position is available in the Human Cognitive
Neurophysiology Group (HCN) in the Department of Neurological Surgery at the University of Louisville School of Medicine. HCN (Drs. Neimat, van Wouwe, and Kaskan) investigates the neural correlates of cognition in the setting of human intraoperative recording and stimulation performed for the treatment of movement disorders and epilepsy. Our collaborative group pairs neuroscientists with physicians in a clinical research environment to provide rich opportunities for the novel exploration of brain function. Drs. Neimat and van Wouwe have recently been awarded a multi-site R01 (Louisville and Vanderbilt) entitled: Modulating Inhibitory Action Control Systems with Subthalamic Nucleus (STN) Stimulation. Dr. Kaskan has recently joined the group and is investigating the role of the STN in value-based decision-making.We are seeking to hire a postdoctoral fellow with a Ph.D. in
neuroscience, engineering, computer science, cognitive psychology, the biomedical sciences, or a field related to neuroscience. Experience with the collection and analysis of single-unit neural recordings and/or local field potentials (human or animal) is required.
Experience programming with MATLAB and familiarity with the Linux environment is highly encouraged. The best candidates will be
experienced neurophysiologists interested in human cognition.The candidate is expected to be highly motivated, possess excellent
presentation and interpersonal skills, an ability to troubleshoot
technical neurophysiological issues, a demonstrated track record of
publications and project completion, and the ability to work both
independently and with others. Additional responsibilities include:
manuscript and grant preparation, literature and manuscript review,
presentations at local seminars and national meetings, and mentoring junior lab members.An initial appointment will be made for one year, with the possibility
of extension based upon performance. Salary is commensurate with
experience.The University of Louisville is a strong research environment and the postdoctoral fellow will have the opportunity to interact and
collaborate with other departments including the Kentucky Spinal Cord Injury Research Center, the Department of Anatomical Sciences and Neurobiology, the Department of Psychological and Brain Sciences, and the JB Speed School of Engineering. The multi-site grant also provides the opportunity to work with the Neurology Department at Vanderbilt University Medical Center.The University of Louisville is an equal opportunity, affirmative
action employer, and is committed to providing employment
opportunities to all qualified applicants without regard to race, sex,
age, color, national origin, ethnicity, creed, religion, disability,
genetic information, sexual orientation, gender, gender identity and
expression, marital status, pregnancy, or veteran status.Interested candidates should send a brief statement of research
experience including interests and future objectives as well as a
curriculum vitae, a reprint (.pdf) of an exemplar paper where they
were an author, and the contact information for three professional
references to peter.kaskan@ulp.org.

Postdoctoral Researcher

Mindmaps Program

A postdoctoral position for an individual with a Ph.D. in neuroscience, engineering, computer science, cognitive psychology, the biomedical sciences, or a field related to neuroscience is available in the Mind Maps Project at the ATLAS Program at
Roswell Park Comprehensive Cancer Center in Buffalo, NY. The Mind Maps Project investigates the neural correlates of cognition in the setting of human intraoperative recording during surgery. Our collaborative group pairs surgeons and trainees learning in a truly operative environment to provide rich opportunities for the novel
exploration of brain function.
Experience with the collection and analysis of single-unit neural recordings and/or local field potentials (human or animal) is required. Experience programming with MATLAB and familiarity with the Linux environment is highly encouraged.
Knowledge of the acquisition and analysis of EEG, ECoG, or local field potentials/single cell activity is preferred. The best candidates will be experienced individuals interested in human cognition and the development of new methods for applying deep learning on EEG and other physiological data. The candidate should be able to write production-grade code and train Brain-Computer Interface models
on large amounts of EEG data.
The candidate is expected to be highly motivated, possess excellent presentation and interpersonal skills, an ability to troubleshoot technical neurophysiological issues, a demonstrated track record of publications and project completion, and the ability to work both independently and with others. Additional responsibilities include: manuscript and grant preparation, literature and manuscript review, and presentations at local seminars and national meetings. An initial appointment will be made for one year, with the possibility of extension based upon performance.
Salary is commensurate with experience.
If interested, please email your updated CV to both Dr. Khurshid A Guru (Khurshid.Guru@roswellpark.org) and Jenna Bizovi (Jenna.Bizovi@roswellpark.org)

Postdoctoral Researcher

Vanderbilt University Medical Center

A postdoctoral position is available in the Human Cognitive
Neurophysiology Group (HCN) in the Department of Neurological Surgery at the University of Louisville School of Medicine. HCN (Drs. Neimat, van Wouwe, and Kaskan) investigates the neural correlates of cognition in the setting of human intraoperative recording and stimulation performed for the treatment of movement disorders and epilepsy. Our collaborative group pairs neuroscientists with physicians in a clinical research environment to provide rich opportunities for the novel exploration of brain function. Drs. Neimat and van Wouwe have recently been awarded a multi center R01 (Louisville and Vanderbilt) studying the effect of Deep Brain Stimulation on action control. Dr. Kaskan has recently joined the group and is investigating the role of the STN in value-based decision-making.

 

We are seeking to hire a postdoctoral fellow with a Ph.D. in
neuroscience, engineering, computer science, cognitive psychology, the biomedical sciences, or a field related to neuroscience. Experience with the collection and analysis of single-unit neural recordings and/or local field potentials (human or animal) is required.
Experience programming with MATLAB and familiarity with the Linux environment is highly encouraged. The best candidates will be
experienced neurophysiologists interested in human cognition.

The candidate is expected to be highly motivated, possess excellent
presentation and interpersonal skills, an ability to troubleshoot
technical neurophysiological issues, a demonstrated track record of
publications and project completion, and the ability to work both
independently and with others. Additional responsibilities include:
manuscript and grant preparation, literature and manuscript review,
presentations at local seminars and national meetings, and mentoring junior lab members.

An initial appointment will be made for one year, with the possibility
of extension based upon performance. Salary is commensurate with
experience.

The University of Louisville is a strong research environment and the postdoctoral fellow will have the opportunity to interact and
collaborate with other departments including the Kentucky Spinal Cord Injury Research Center, the Department of Anatomical Sciences and Neurobiology, the Department of Psychological and Brain Sciences, and the JB Speed School of Engineering. The multi-center grant also provides the opportunity to work with the Neurology Department at Vanderbilt University Medical Center.

The University of Louisville is an equal opportunity, affirmative
action employer, and is committed to providing employment
opportunities to all qualified applicants without regard to race, sex,
age, color, national origin, ethnicity, creed, religion, disability,
genetic information, sexual orientation, gender, gender identity and
expression, marital status, pregnancy, or veteran status.

Interested candidates should send a brief statement of research
experience including interests and future objectives as well as a
curriculum vitae, a reprint (.pdf) of an exemplar paper where they
were an author, and the contact information for three professional
references to peter.kaskan@ulp.org.

Expiration: June 31st, 2018

Postdoctoral Researcher

University of California – Irvine

The University of California, Irvine BCI lab is actively
recruiting for a post-doctoral scholar to join our research team in
designing a fully implantable BCI system to help people with paralysisdue to neurological disorders (e.g. spinal cord injury, stroke, etc.).
We are seeking highly motivated individuals to start immediately on a new project which includes the following research activities and
responsibilities:- Undertaking neuro-electrophysiological experiments with patients undergoing ECoG electrode implantation, analysis of data collected
– Undertaking embedded system design and programming
– Interacting with and recruiting study patients coming from a variety
of neurological conditions (epilepsy, SCI, stroke, etc.)
– Interacting with industry consultants to undertake industrial
design, and interacting with FDA regarding device regulations
– A variety of related multi-disciplinary tasks

 

Desired qualifications:
– PhD or equivalent in biomedical engineering, electrical engineering, physics, neuroscience, computer science or related fields
– Experience with acquisition and analysis of EEG, ECoG, or local
field potentials/single cell activity
– Experience in BCI or other neural prosthetics application
– Experience with neural electrical stimulation research
– High proficiency in Matlab and C/C++/C#
– Proficiency in embedded systems
– History of good human and patient interaction and good interpersonal skills
– Industrial experience in medical devices is preferred

This project is done in collaboration with local institutions,
including University of Southern California (USC), California
Institute of Technology (Caltech), and Rancho Los Amigos National
Rehabilitation Center. A significant amount of experimental and
clinical research work will be performed offsite from UC Irvine, and
hence car ownership and the ability to drive between sites is
mandatory for this position. Interest in staying 4-5 years is
preferred.

Interested candidates should submit a curriculum vitae, personal
statement, and contact information for at least 2 references to Prof.
An Do, MD (and@uci.edu).

PhD Student – University of Montreal

PhD position for classification of affective
states using EEG and eye tracking in the context of a training task.

Description:
Faubert Lab is looking for a PhD student to work on the detection and classification of affective states with EEG and eye tracking data
during pilot training tasks. The PhD student will explore both online
and offline solutions as well as traditional machine learning and
novel deep learning approaches. The classification of affective states
using EEG and eye tracking is one component of a bigger project and, therefore, the PhD student will work with other PhD and master students all responsible for different aspects of the project.

Requirements:
Faubert Lab expertise is in vision and perception and we are looking
for someone with programming skills coming from a technical background such as engineering or computer science. Preferably with experience in machine learning and/or deep learning.

Working conditions:
This project is part of an NSERC industrial collaborative research and development grant with CAE, a world leader in flight simulation and training.
This is a fully funded position: $21k / year for 3 years.

Please send a curriculum vitae and a letter outlining research
experience and career goals to faubertlab [at] opto.umontreal.ca

For more information on Faubert Lab, please visit
http://faubertlab.com/

We thank all applicants for applying for this position, but only those
considered for an interview will be contacted.

Expiration: March 30, 2018

 

PhD Student – Semantic Brain-Computer Interfacing

University of Essex

This studentship will start from 23 April 2018 and once awarded, you’ll receive the scholarship for three years of your PhD (subject to satisfactory progression).

The studentship includes:

  • A fee waiver equal to the Home/EU fee (for 2017/18, £4,120). International students will need to pay the balance of their fees.
  • A stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend
    (£14,553 in 2017-18)

Brain-computer interfaces (BCIs) may be used as a communication aid for people who experience difficulties communicating via other means. However, the current state-of-the-art in communication speed and accuracy achievable with BCIs is relatively low when compared to other communication aids. This is largely because current BCIs are based on serial communication in which single discrete pieces of information are communicated one-by-one. Recent results in cognitive neuroscience, machine learning, and human language science suggest the possibility of semantic decoding; identification of activity in the brain related to semantic concepts. Machine learning may be used to identify brain activity related to semantic concepts such as ‘see’ or ‘ hear’ from neural activity such as EEG and fNIRS.

This PhD will investigate novel machine learning techniques to develop a new type of BCI that has the potential to be both highly intuitive and allow greater levels of accuracy and communication speed than possible with current BCI. This will result in a semantic BCI, which will be built based on simultaneous recording of EEG and fNIRS.

The successful applicant will be supervised by Dr Ian Daly and Professor Riccardo Poli and will be part of the Essex Brain-Computer Interfacing and Neural Engineering Lab (http://essexbcis.uk): today the UK’s largest research group in brain-computer interfaces.

Additional questions and queries about the studentship to be addressed to:
Dr Ian Daly i.daly@essex.ac.uk and Professor Riccardo Poli rpoli@essex.ac.uk .

Entry Requirements
The successful candidate would be expected to speak fluent English and meet our English Language requirements, if applicable, and will have a good honours BSc or BEng degree
(1st class or high 2:1, or equivalent) in Computer science, electronic engineering, computer engineering, statistics, mathematics, or related subjects.

An MSc with Merit or Distinction is desirable (but not essential for students with a first class degree). Strong analytical and mathematical skills are required, as well as good programming skills.

Knowledge of machine learning, signal processing, and neuroscience are desirable but not essential.

How to Apply

  • To be considered for this Scholarship applicants are required to apply for their PHD course in the usual way via the University of Essex online admissions application process here: website, (including uploading all supporting documents required) by the deadline of Friday 23 February 2018.
  • Please note on your PG Admissions application form in the ‘Proposed research topic or area of research’ field that you wish to apply for this scholarship, quoting Ref CSEE/APR18/01.
  • Applicants will be informed of the outcome of their application for their PHD course and the scholarship award by the end of March 2018.

Expiration: February 23rd, 2018

Intheon

Intheon (formerly Qusp Neurotechnologies), is seeking highly talented and motivated research scientists and engineers to work with our team in San Diego on technology that will power the coming generation of brain-based human-machine interfaces, integrating neurotechnology into everyday life. We are building the first comprehensive, cloud-scalable, middleware platform for real-time processing of neural and other biosignals, using advanced machine and deep learning algorithms, multisensor data fusion strategies, and online signal processing techniques to provide real world neuronal and cognitive state assessment. We are also actively engaged in cutting-edge fundamental and applied clinical, computational, and cognitive neuroscience research and development through collaborations with leading academic institutions and federal research agencies.

We are presently looking to fill three positions, briefly summarized below.

For further details on each position, specific requirements and application instructions, please visit the jobs page on our website (www.intheon.io/jobs), or on Indeed.com.

We look forward to hearing from and working with you!

** Deep Learning Research Engineer

You are experienced in designing and implementing deep learning algorithms and are looking for the most exciting, challenging, and high-impact areas to apply the latest developments in ML and AI. You will work with our senior research engineers to design and implement advanced brain-computer interface technology using state of the art deep learning techniques. Specifically, you will:

  • develop new methods for applying deep learning on EEG and other physiological data
  • write production-grade code and train Brain-Computer Interface models on large amounts of EEG data

** Neuroscientist (Staff Scientist)

You want to use your expertise and experience in computational neuroscience to develop and apply new cutting-edge technologies for large-scale EEG data analysis, essential for training robust powerful machine learning systems capable of decoding brain state in complex environments. You may also work on projects related to the development and application of novel closed-loop brain-computer interface technologies. Specifically, you will work with our senior researchers to:

  • develop methods to advance the state of the art in large-scale EEG data processing and management
  • develop new computational methods for combining EEG features across multiple studies (meta-analysis)
  • interpret analysis results and publish them in scientific journals
  • develop and apply methods for real-time cortical connectivity analysis and closed-loop neuromodulation

** Senior Software Engineer

You are a versatile software engineer with demonstrated expertise in writing and deploying production software on AWS or similar platforms, as well as writing high-quality desktop code in Python and C/C++. You are excited about applying your experience and skills to cloud- and desktop-based platforms for real-time neural and biosignal processing using advanced deep learning and other algorithms. Specifically, you will:

  • develop and extend new desktop software for advanced biosignal processing
  • develop, extend and deploy biosignal processing software on a robust cloud platform
  • write high-quality production-grade, secure, scalable, and clearly documented code

BrainWave Bank

BrainWaveBank’s mission is to transform how cognitive illness is diagnosed and treated so that people can live longer, healthier, more fulfilling lives. Our 16-channel EEG headset is designed for home-use, and is supported by a platform of tablet-based games and cloud-based analytics to track cognitive performance and health. We are now expanding, and hiring a number of software, hardware and scientific roles into our Dublin and Belfast offices.

We are seeking exceptional candidates for these roles (see links below
for full details):
– Senior EEG Research Engineer, Dublin  –  Full-time
– EEG Research Engineer, Dublin – Full-time
– Machine Learning Engineer, Dublin – Full-time
– Cognitive Neuroscientist, Dublin  – Full-time
– EEG Hardware Design Lead, Belfast  –  Full-time
– Full Cloud Stack SW Engineer, Belfast  –  Full-time
– Senior Mobile Developer (Android), Belfast  –  Full-time
– Trial Manager, Belfast  –  Full-time

View full details of the roles and apply through:
https://www.indeedjobs.com/brainwavebank/_hl/en_GB

Learn more about the team and mission:
http://www.brainwavebank.com

INSTRUCTOR  /  ASSISTANT /  ASSOCIATE /PROFESSOR  OF NEUROLOGY

Center for Neurotechnology  and  Neurorecovery

Massachusetts  General  Hospital

Harvard  Medical  School

The  Department  of  Neurology  at  Massachusetts  General  Hospital  is  recruiting  new  faculty  with expertise  in  innovation  in  neuroengineering and  neuroscience.
The  successful candidate should  have  a  record  of  research  achievements  in  neuroengineering/neurotechnology,  such
as assistive  technologies,  neurorehabilitation  /  neurorobotics,  implanted  recording  and/or neuromodulation  devices,  vascular
and  interventional  or  surgical  neurotechnologies, neural  encoding/decoding  techniques,  or  high resolution  neurophysiology  and  neuroplasticity.
The  candidate’s  research  program  should  enable the early  translation  of  engineering  innovations into  clinical  research
or practice.
The  primary  appointment  will  be  in  the  MGH Department  of  Neurology  within  its  Center  for  Neurotechnology  and  Neurorecovery.
The position  is  open  at  the  HMS  Instructor/Assistant/Associate
Professor  rank.Candidates  must hold  a PhD or  MD/PhD  in  engineering  or  related  disciplines  and  demonstrate  potential  for  outstanding  research.  Some  postdoctoral  research
training  is  preferred,  as is  a  record  of  external  funding.
All  candidates  should  submit  a  CV  with  a  cover  letter.  The  letter  should  discuss  the  candidate’s  research  plans  and  laboratory
requirements.  MD/PhD  applicants  should  highlight  their  preferred  balance  of  clinical  responsibility  and  research  effort.
Applications  will  be  evaluated  on  a  rolling  basis,  and
should  be  submitted  as  soon  as  possible,  no  later  than  November  3,  2017
.
Interested  candidates  should  send  their  CV  and  letter  to:
Merit  Cudkowicz,  MD,  MSc
Chief,  Neurology Service
Julieanne  Dorn  Professor  of  Neurology
MGHNeurologySearch@partners.org
Questions  about  this  opportunity  can  be  addressed  to
Dr.  Leigh  Hochberg and/or  Dr.  Sydney  Cash  at  the  above  email  address. Massachusetts  General  Hospital/Harvard  Medical  School  are  Equal  Opportunity/Affirmative  Action  Employers  actively  committed  to  increasing  the  diversity  of  their  faculty;;  people  with  disabilities,  Veterans,  women  and  members  of  underrepresented  minority groups  are  strongly encouraged  to  apply.

 Postdoctoral Position in Signal Processing with a focus on functional Brain-Computer Interface at CEA Grenoble, France

Institution: CEA-LETI, Clinatec
Applicants are invited for a research position in the field of Signal
processing focusing on Brain-Computer Interface (BCI) with multiple
degrees of freedom.

Context: The goal of the Brain-Computer Interface (BCI) Project at
CLINATEC® (CEA, Grenoble) is to provide the proof of concept that it is possible to control complex effectors, such as a 4-limb
exoskeleton, thanks to brain activity monitoring and decoding to open new opportunities to motor disabled (in particular for tetraplegic subjects).
A wireless 64- channel ElectroCorticoGram (ECoG) recording implant WIMAGINE® have been designed for long-term clinical application.
The clinical research protocol “BCI and tetraplegia” (PI Prof.
Benabid) recently obtained authorizations to perform a clinical trial.

The work is performed at CLINATEC (CEA, LETI, CLINATEC) at the French Alternative Energies and Atomic Energy Commission in Grenoble.
http://www.cea.fr/english/Pages/research-areas/health-and-life-sciences.aspx
http://www.leti-cea.com/cea-tech/leti/english/Pages/Applied-Research/Facilities/CLINATEC-plateform.aspx

Mission: The applicant will intervene during the phase of clinical
trials in order to optimize the decoding of ECoG data. In a
multidisciplinary environment composed of clinicians, engineers and
researchers in mathematics, informatics, electronics and biology,
roles of the applicant will be:
– to optimize and implement robust algorithms of adaptive real-time
ECoG signal decoding providing multiple degrees of freedom,
– to develop and implement effector dependent control strategies,
including complex effector with multiple degrees of freedoms such as a 4-limb exoskeleton.

The Postdoctoral Fellow will directly participate to the clinical
trial, contribute to strategies and tools to support patients’
re-education, define quality criteria allowing to quantify patients’
progress and satisfaction etc.

Profile: The ideal candidate will have a doctoral degree, or
equivalent, in a relevant discipline (Computer Science, Engineering,
Applied Mathematics, and Physics) with an emphasis on signal
processing. Programming in Matlab will be a part of the project.
Candidates with skills and experience in BCI, EEG/ECoG data analysis, real time signal processing, machine learning, statistics will be preferred.

Administrative: Funding is provided by an international mobility
program for postdoctoral researchers co-funded by the European
Commission and the CEA and managed by the CEA (Eurotalent). The
applicant shall not have resided or carried out its main activity in
France for more than 12 months in the last 3 years.

The deadline is late September 2017, so applications are expected for September 10th 2017 at most. The start of the contract (12 months, with possible extension) is expected in January-February 2018.
Salary is commensurate with experience and the position carries a full social security and health coverage.
Applications including a CV, a motivation letter and the names of two references must be sent electronically to Dr. Tetiana AKSENOVA (tetiana.aksenova@cea.fr), AND to Mr. Guillaume CHARVET (guillaume.charvet@cea.fr).
Selected candidates will be interviewed in Grenoble.

For more information please e-mail to Dr. Tetiana Aksenova
(tetiana.aksenova@cea.fr) AND Mr. Guillaume CHARVET
(guillaume.charvet@cea.fr).

References.
­ Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N.,
Arizumi, N., … & Benabid A.-L. (2014, August). CLINATEC® BCI
platform based on the ECoG-recording implant WIMAGINE® and the
innovative signal-processing: preclinical results. In 2014 36th Annual
International Conference of the IEEE Engineering in Medicine and
Biology Society (pp. 1222-1225). IEEE.
­ Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid
Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In
International Conference on Artificial Neural Networks (pp. 288-296).
Springer International Publishing.
­ Eliseyev, A., & Aksenova, T. (2014). Stable and artifact-resistant
decoding of 3D hand trajectories from ECoG signals using the
generalized additive model. Journal of neural engineering, 11(6),
066005.

Post-doctoral Fellowship in Brain Machine Interfacing and Motor Learning

Institution: Northwestern University

Lee Miller, Sandro Mussa-Ivaldi, Eric Perreault, and Sara Solla are seeking to hire one or more post-doctoral fellows at Northwestern
University to join a project with recently renewed NIH funding.

The project (described in greater detail below) involves the study of long-term motor adaptation using a unique Brain Machine Interface (BMI). The ideal candidate would have both strong computational training and experience working with chronically implanted monkeys. To apply for the position, send a letter of inquiry with contact information for three references, and a resume to lm@northwestern.edu.

In the space of barely over ten years, BMIs used to restore movement
have developed from the stuff of science fiction to clinically relevant devices. However, most existing BMIs, while technically remarkable, require the user to be wired to stationary equipment, and allow only intermittent control of a computer cursor or robotic limb.
The algorithm linking brain activity to the restored movement must
typically be frequently recalibrated. We have developed a wireless BMI that will operate 24 hours a day, restoring voluntarily movement to monkeys despite paralysis of their hand, for a broad range of their
normal motor behaviors. By using nonlinear autoencoding neural
networks, we hope to greatly extend the period over which the BMI will work without recalibration.
We have developed a unique model of spinal cord injury (SCI) using a
chronically implanted infusion pump that delivers a potent drug
(tetrodotoxin) to cuffs placed around two key nerves in the arm. The
drug causes a nerve block that produces the acute effects of spinal
cord injury for indefinite periods of time. Prior to the nerve block,
we will wirelessly record both neural signals and electromyograms
(EMGs) from a large number of muscles in the arm and hand during both constrained motor behaviors in the lab and also completely
unconstrained behaviors while the monkey is in its home cage. We will use the data to develop algorithms (“decoders”) that transform the neural signals into predicted EMG signals. Following the onset of
paralysis, our BMI will use these EMG predictions as control signals
for Functional Electrical Stimulation (FES), causing contractions of
the paralyzed muscles that the monkey can control voluntarily through the computer interface. We will study the gradually changing brain activity as the monkeys learn to use this FES BMI. In addition, we will attempt to augment the monkey’s performance by developing
adaptive decoders operating in parallel with the monkey’s own
adaptation, as well as decoders that actually “coach” the monkeys,
pushing them toward desired control strategies and away from
counterproductive ones.
This technology gives us the ability to study the brain’s
representation of movement across a range of motor behaviors that has never been possible before. During paralysis, it will allow us to
study motor learning and adaption without the limitations imposed by the intermittent availability of current BMIs. Finally, it provides a
platform close to that for necessary for clinical translation, with
which we will be able to study the limits of current decoders and to
develop nonlinear and adaptive decoders designed to assist the
monkey’s own adaptive processes. While this application is focused
on restoration of grasp, its general principles will extend to the
control of reaching, lower limb function, and even prosthetic limbs.
Ultimately, this work will develop the interface, decoder, and control
technology that will be necessary to move BMIs from the lab to the
clinic.

Lee E. Miller
Distinguished Professor of Neuroscience
President, Society for the Neural Control of Movement

Postdoctoral Researcher: Brain Computer Interfacing for ALS patients

Institution: Radboud Universiteit

We are looking for a postdoctoral researcher with a strong background in signal processing and machine learning, evidenced by a PhD degree in this domain. The field in which you obtained your Master’s degree should preferably be one of the engineering sciences or neuroscience. You must be able to work in a highly multidisciplinary team, being able to communicate not only with BCI experts, but also with commercial and medical partners. Furthermore, you must be able to manage your own project and at the same time contribute to the supervision of, for example, PhD students.

BCIs have been around for quite some time, but until now the full potential of the technology has not been realised due to poor information transfer rates, long training times, and inconvenient hardware. The Noise Tag BCI recently developed by our team overcomes these problems: there is no training required, fewer and dry electrodes (meaning a trendy ’wearable’ EEG cap) can be used, the method has robustness (e.g. against movement) and high accuracy. This patented technology is based on broadband evoked potentials and has already been used successfully when in 2016 the team won the assistive technology challenge at the Dublin symposium for ALS. The primary application of the technology will be for patients with locked-in syndrome, such as those in late stages of ALS, where the lack of means to communicate is a serious problem. The BCI technology has huge potential to improve their quality of life by restoring communication and interaction with their environment.

You will be responsible for the integration of various methods and their optimisation, delivering a clean and clear MATLAB prototype that will be turned into production code.

Work environment

The Donders Institute for Brain, Cognition and Behaviour focuses on state-of-the-art cognitive neuroscience, using a multidisciplinary approach, and offers excellent lab and neuroimaging facilities, PhD supervision and courses, and technical support. The project will be embedded in the Donders research theme ‘Neuronal Communication’. The project will be embedded in the research programme of the Centre for Cognition of the Donders Institute, which is part of the Faculty of Social Sciences, one of the largest faculties at Radboud University in Nijmegen. The institute offers excellent research facilities, such as advanced EEG and eye movement registration, lab space, excellent access to fMRI and other neuroimaging facilities, and has an in-house technical workshop. The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities.

What we expect from you

  • you have a strong background in signal processing and machine learning in the context of electrophysiological (EEG) data;
  • you have preferably experience with and knowledge of canonical correlation analysis, reconvolution, and template matching classification;
  • you have experience with developing and debugging MATLAB code and are able to write and elaborate clean and well-documented modular programs;
  • you have worked on online, real-time processing projects with data streaming;
  • you are able to formalise methods mathematically and to communicate them in a clear way, as demonstrated by first-authored articles;
  • you can bridge the distance between fundamental concepts and theories, on the one hand, and practical implementation and evaluation of these concepts, on the other;
  • you can think out of the box, distinguish main lines from details, and provide structure to your work;
  • you have excellent multidisciplinary team working and communication skills;
  • you have some expertise in other programming languages (e.g. C, Python, Java) and platforms (Unity, IOS).

What we have to offer

  • employment: 0.8 – 1.0 FTE;
  • a maximum gross monthly salary of € 4,757 based on a 38-hour working week (salary scale 11);
  • in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
  • duration of the contract: 2 years;
  • you will be classified as a Researcher, Level 3 in the Dutch university jobranking system (UFO);
  • we offer you a challenging job at a dynamic, high-ranking and ambitious university.

Other Information

The method can be seen at work on the DondersBCI Channel on YouTube. The research is part of a Knowledge Utilisation project in which the MindAffect company will bring the technology to the market. Future opportunities may evolve that allow your being hired by the company.

Would you like to know more?

Further information on: Theme 4: Brain Networks and Neuronal Communication
Further information on: Donders BCI PI group

For more information about this vacancy, please contact:
Prof. Peter Desain, Head of AI department
Telephone: +3124 361 58 85
E-mail: p.desain@donders.ru.nl

Physical Therapist

Institution: g-tec neurotechnology, USA, Inc.
Seeking an ambitious physical therapist to join our flagship team in
Albany, NY. We provide a revolutionary new stroke therapy, recoveriX, that combines traditional approaches with Brain-Computer Interface technology to facilitate fast and effective recovery of function. Our burgeoning practice provides a motivated environment where we believe in empowering our patients to achieve new heights of recovery success through active participation in their therapy. We are looking for a therapist with a keen desire to learn and grow with the practice, and experience working with the health insurance industry to bill for and aid with reimbursement of client expenses.

recoveriX is the first rehabilitation system for stroke patients that
pairs mental activities with motor functions. The brain receives
visual and tactile feedback in real-time, and that is what makes
rehabilitation so effective. For example, if a stroke patient imagines
a hand movement while receiving visual feedback through a virtual
avatar, and tactile feedback through electrical muscle stimulation at
the same time, then these patients might regain the ability to grasp
again.

The activation of both sensory and motor functions is caused by mirror neurons. This stimulates brain plasticity and the brain will be
supported in learning new ways to move the affected limbs again. The
unique approach of recoveriX leads to a much higher level of motivation for the patient and rehabilitation is most effective.
Repeated training increases the healing of the brain and leads to
faster recovery from stroke-caused impairment.

The recoveriX system includes all components required to perform
training, classifier generation, virtual-reality neurofeedback and
functional muscle stimulation. It can be set up quickly, and is very
easy to operate, making it a practical tool for daily use with
patients.

Requirements
• Current NY state license
• Candidates with a background in stroke rehabilitation therapy
preferred
• Working knowledge of Windows/Excel/PowerPoint
• Excellent interpersonal skills
• Work collaboratively as a team with other on-site staff
• Experience with health insurance reimbursement/billing a must
• 2 – 5 years experience with clinical practice recommended
• Experience with EEG and/or neurofeedback a plus, but not required

To apply, or for more information, email: dimov@gtec.at

PostDoctoral Fellow – EEG & Attention

Institution: ThinkNow Inc.
Think Now Incorporated may be seeking 1-2 post-doctoral fellows in the fall of 2017 to work on NIMH funded projects analyzing novel EEG measures of slow fluctuations in sustained attention (10-20 seconds), including data from 400 subjects, and designing an entirely new type of EEG-based feedback system to improve sustained attention. The work will include performing sophisticated EEG data analyses and writing matlab code to create a closed loop feedback system. There is also the potential, as time permits, for exploratory research with machine learning methods to identify EEG activity patterns related to attentional states and their dynamics.
We are seeking candidates with a solid background in signal
processing, experience with EEG time series, and possibly modeling. We prefer self-directed individuals to take on this work. The successful candidate will work with EEG and signal processing/modeling faculty at UCB and UCLA as well as Dr. Simpson, and be able to regularly interact with other UC post-docs and graduate students.
The position reports directly to Gregory V. Simpson, a cognitive
neuroscientist and Chief Scientific Officer of Think Now. Think Now is
located in San Francisco and is collaborating with faculty at UCB,
UCLA and OHSU on these projects.
Think Now is focused on creating solutions for the diagnosis and
amelioration of neurological and psychiatric disorders with a focus on
attention and its control. Please send your CV to jobs@think-now.com with a letter describing your prior experience with sophisticated signal (EEG) analyses and any BCI or modeling methods.

Postdoctoral Position in the Slutzky Neuroprosthetics Laboratory

Institution: Department of Neurology, Northwestern University Feinberg School of Medicine and Sensorimotor Performance Program (SMPP), Rehabilitation Institute of Chicago
We are actively seeking outstanding a postdoctoral fellow to join our research team in developing neural prostheses, including brain machine interfaces (BMIs) and myoelectric computer interfaces (MCIs) to help people with severe motor impairment from neurologic disorders. We are seeking highly motivated individuals to start immediately on a new project to develop a wearable MCI to rehabilitate arm motor function in people with stroke. This project at Northwestern and the Rehabilitation Institute of Chicago (RIC) is a multidisciplinary and involves a collaboration with Temple University. We collaborate closely with several other neuroprosthetics laboratories at Northwestern and RIC (www.ric.org/research/centers/smpp), thus providing tremendous educational and networking opportunities.

Desired qualifications include a PhD in biomedical engineering,
electrical engineering, physics, neuroscience, computer science or
related fields. Experience in neuroprosthetics applications is
preferred. Candidates should possess some neuroscience and machine learning/statistical/signal processing background as well as
proficiency with Matlab and Python, and/or C/C++. Experience with EMG recordings is also desirable.

Candidates should submit a curriculum vitae, brief statement of
research interests, and contact information for at least 2 references
to

Marc Slutzky, MD, PhD
Associate Professor of Neurology, Physiology, and Physical Medicine &
Rehabilitation
Northwestern University Feinberg School of Medicine
mslutzky@northwestern.edu
http://labs.feinberg.northwestern.edu/slutzky/

Lecturer in Computer Science and Artificial Intelligence

Institution: University of Essex

The School of Computer Science and Electronic Engineering (CSEE) is a large and vibrant department in the Faculty of Science and Health.  CSEE is internationally known for its research in a range of areas, and offers an excellent education to its students.  The School is expanding, due increasing student numbers and now wishes to appoint additional lecturers to support this growth.
The successful candidate will be expected to deliver excellent research and teaching, generate research income, to contribute to the administration and management of the School, and to the local, regional and international profile of the Department.
We wish to enhance the School’s existing research in the broad area of computer science and artificial intelligence as well as open up and develop new research activities that will become recognized as outstanding and internationally leading.  The post will include teaching on computer science and artificial intelligence courses at undergraduate and/or postgraduate level. This may include delivering existing modules, developing new modules and generally enhancing our research-led teaching.  We aim for excellence in education as well as in research and are looking for candidates who can contribute to both.  We are particularly interested in candidates with research expertise in one of more of the following areas: Deep Learning, Analytics and Data Science, Human Language Science and Technology, Game AI, Neural Engineering and Brain Computer Interfaces, Robotics, Virtual Reality and HCI.
Candidates are expected to have excellent programming skills and to be able to teach programming at UG and PG level if required.
This permanent, full-time post will be based at our Colchester Campus, ideally to start on 1 April 2017 or as soon as possible thereafter.
We strongly encourage applications from women as they are underrepresented in this area.
At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.
Please see the further detail link here for a full job description, person specification and more information relating to this post. We recommend you read this information carefully before making an application.  Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 874693/873521).

PostDoctoral Researcher

Institution: University of Pittsburgh

Posting Expires: 6/30/2017
Applications are invited for an NIH funded
postdoctoral position combining eye tracking and intracranial EEG
recordings in humans to study and decode visual perception, including face and object recognition and social and affective perception, at the University of Pittsburgh, USA.

The research will focus on decoding the dynamic neural code that
underlies the recognition of faces, bodies, objects, facial
expressions, and other social and affective stimuli and how this
information guides, and is guided by, eye movements. Of particular
interest is how this information is coded in interactive neural
circuits at the level of large-scale brain networks. The neural data
will primarily be local field potentials/ event related potential from
intracranial surface electrodes (electrocorticography, ECoG), cortical depth electrodes, and subcortical depth electrodes in humans in conjunction with eye tracking. There is also the potential for studies involving direct cortical stimulation to draw causal connections between the code and behavior.

The ideal applicant would hold a Ph.D. in Neuroscience, Psychology,
Computer Science, Mathematics, Statistics, Engineering or a related
field. Strong technical, computational, and statistical skills are
required. Experience with combining eye tracking and
electrophysiological data is strongly preferred (for example, scalp
EEG, MEG, or intracranial EEG and eye tracking). Applicants should
have a strong track record of publication.

Pittsburgh is consistently ranked the most livable city in America and the neuroscientific community here, particularly at the University of Pittsburgh and Carnegie Mellon University, is both very strong and collaborative.
Interested applicants should send a letter of interest, CV, and the
names and contact information for 3 researchers who can provide a
recommendation. For further information or to submit an application, please contact Avniel Ghuman, PhD at ghumana@upmc.edu.

Brain Vision

Position: Scientific Consultant / full-time
Company: Brain Vision, LLC (US distributor of Brain Products and other vendor partners)
Place of Employment: Morrisville, NC / USA (Brain Vision’s Headquarter)

Brain Vision, LLC is looking for scientists to join our team. Brain Vision is a distributor of neuroscience research solutions, servicing scientists in neuroscience and related fields in the US and Canada.

We recognize that long-lasting business and collaborations can only be based on trust in our services and products, and we establish and maintain this trust by providing reliable products and outstanding customer service.

Our ideal candidates will have a love for and a deep understanding of EEG research. The candidates would need to be comfortable working in a team, interacting with other departments, and working with researchers. The candidates should also be confident in their ability to take initiative and work independently.

We seek candidates with excellent communication skills: fluent written and spoken scientific English (proficiency in other languages will be seen as a plus, but is not a requirement).

An academic degree (PhD is preferred, but we will also consider an Academic Diploma and Masters) in neuroscience, psychology, psychophysiology, or a related field is required.

The candidates should have expertise in conducting, analyzing, and publishing EEG experiments or similar complex neurophysiological analyses (the ideal candidate is a current user of our hardware and software solutions). Experience in writing and managing grants is also a plus.

Your role as a consultant will include

  • Supporting the activity of a growing support, consulting, and sales team.
  • Extended communication with researchers and universities via email or phone about finding the best fitting solutions for their research and budget goals.
  • Working together with our vendors and partners to provide comprehensive technical and scientific support.
  • Attending conferences (e.g. SPR, HBM, CNS, HCI, VSS, SLEEP).
  • Frequent travel throughout the US and Canada for workshops, installations, and customer trainings (total travel time 20%).
  • Maintaining cutting edge knowledge in the field of EEG and ERP research.


Benefits include

  • Working in a constantly growing company with room and opportunities for promotion.
  • Working in a company with an excellent reputation and with a pleasant and skillful team.
  • Dealing with great people – there is no other crowd like our researcher community.
  • Traveling to interesting places.
  • A competitive compensation package and full benefits (medical, dental, vision, and vacation/holiday time).


How to apply
If you meet the skill requirements, wish to explore the opportunity of joining Brain Vision, and have a positive impact on the future of neuroscience, please send your application documents (cover letter including desired salary, curriculum vitae) via email to:

Brain Vision, LLC
Dr. Florian Strelzyk
Vice President
2500 Gateway Centre Blvd, Suite 100
Morrisville, NC 27560
e-mail: cb-sales@brainvision.com

Please note, the cover letter must address the job requirements and must state the degree you hold.

Brain Vision is an equal opportunity/affirmative action employer.
We base all hiring decisions on nondiscriminatory factors.


Brain Products

We are hiring a new team member to expand our marketing team as a Scientific Consultant
Place of employment: Gilching (near Munich), Germany
Position: Scientific Consultant (m/f)

For more information about this position, please visit Brain Products:

https://www.researchgate.net/job/894950_Scientific_Consultant-Mobile_Brain_Body_Imaging_MoBI

 As a scientific consultant within our marketing team, you will travel internationally to meet researchers as well as to attend exhibitions and training events. You will be involved in developing new business opportunities worldwide and building strong relationships with existing and prospective distributors and users. You will be responsible for understanding the details of scientists’ research needs and proposing a solution to fulfill their requirements. You will be expected to follow through with the offer until it becomes an order. You will also educate and train end-users with relevant research equipment.

Desired skills and experience

  • You will have a strong background in EEG research and experience with Mobile Brain/Body Imaging (MoBI), passive BCI, or real time monitoring of Brain States
  • A PhD degree in a relevant field of neurosciences, psychology, psychophysiology, engineering or a related field is required. So is a current focus on Mobile Brain/Body Imaging, passive BCI, real time monitoring of Brain States or wearable EEG technology
  • Marketing skills or a talent for marketing is a big plus.
  • You should have expertise in conducting, analyzing and publishing scientific experiments. You should have experience with real-time EEG analysis, machine learning or multimodal data analysis. Ideally you are a user of our hard- and software solutions. If you have experience in writing and managing grants this is also a plus.
  • You need to be comfortable to working in a team, interacting with other teams and working with researchers. But you should also be confident in your capacity to take initiative and work independently
  • You should possess excellent communication skills; specifically, you should enjoy frequent interaction with colleagues and researchers. Fluent written and spoken scientific English – proficiency in German will be seen as a plus, but is not a requirement.
  • You should be willing to travel up to 20 % of your time.

How to apply:

Please see the link above to apply for this position

 


Brain Vision Solutions

Canadian researchers have always found an excellent partner in Brain Vision LLC the North American distributor of Brain Products, EASYCAP, Cognionics, NIRx and several other great companies. Due to your continued trust and recommendations, our customer base is continuously growing and so are we. Now we thought it‘s time to bring you a dedicated distributor for the Canadian market.

We have just founded Brain Vision Solutions which will be your new distributor in the Canadian market. We are located in beautiful Montréal, where we already have a lot of friends and customers. We plan for Brain Vision Solutions to take care of our Canadian customers by the end of the year. Now we are looking for help!

We endeavor to provide researchers in Canada with the best hard and software solutions to allow for successful experiments and a satisfying research experience. We dedicate ourselves to helping those who are dedicated to the research and understanding of the human brain and nervous system. Our hard and software solutions for neurophysiological research cover the fields of: ERP, EEG/fMRI, EEG/TMS, BCI, as well as sleep and sports sciences and similar disciplines.

What we are looking for in a candidate:

• A love and deep understanding for neurophysiological research.

That is; experienced researchers or lab managers who have done recordings, analysis and presentations (publications and conferences) of EEG /ERP research.

• A willingness to serve the scientific community as a consultant in hard and software related requests.

• The drive to find solutions, ranging from scientific applications to troubleshooting a lab setup and helping with software and hardware questions.

• An interest in travelling throughout Canada (and sometimes the US) to visit the researchers in their labs, give trainings and workshops and to attend conferences (25% travel).

• An intermediate level of statistical understanding, and knowledge about our equipment is a big plus, so is being bilingual (French and English).

If you think that you could be a great match for us, please email your application in English to Dr. Patrick Britz (patrick.britz@brainproducts.com).


 ANT Neuro

ANT Neuro currently has several positions open, including a sales position in Philadelphia and an Application Specialist position in the Netherlands.  Please click here for more information:

www.ant-neuro.com/careers/


BRAINinteger, Inc.

BRAINinteger Inc’s purpose is to provide support for tinnitus research. The company has an impressive advisory board, including Dr. Shaowen Bao (Associate Professor, Physiology, University of Arizona) and Dr. Roger G Frey (Ph.D., Emeritus Professor, Electrical and Computer Engineering & Computer Science, UNH), and is backed by high profile members of the music and entertainment community who are committed to finding a cure for the disorder.  The company is looking to engage Master’s level and Undergraduate level students with experience in BCI to start on a research project. Depending on credentials and experience the company is offering equity. Interested parties should contact:

Joe M Carlone

King, Holmes, Paterno & Soriano

1900 Avenue of the Stars, 25th Floor

Los Angeles, CA 90067

Direct Dial: 310-282-8996

Facsimile: 310-282-8903

Joe Carlone <JCarlone@khpslaw.com>


Postdoc Position in Brain-Machine Interface

A postdoctoral position, approximately two years in duration with possible extension, is open at the Neural Systems Lab in the  Department of Biomedical Engineering, University of Kentucky. The
position involves research on imaging and modulation of sensorimotor rhythms and function in healthy individuals as well as patients with spinal cord injury.
PI: Sridhar Sunderam , Ph.D.
Dept. of Biomedical Engineering University of Kentucky
E-mail: ssu223@uky.edu

Post-Doc Opening in Biosignal Analysis for Assistive Technologies

We’re looking for a postdoc with engineering background and expertise in EEG analysis for BCI.
The project should involve him/her for 2-3 years, developing novel solutions for enabling ALS patients to communicate.

http://iit.it/en/openings/research-departments/advanced-robotics-openings/3019-post-doc-opening-in-biosignal-analysis-for-assistive-technologies.html

Biomedical Robotics Laboratory
Advanced Robotics (ADVR) Department
Istituto Italiano di Tecnologia (IIT)
Via Morego, 30
16163 Genova (Italy)


 Post-doctoral scholar availability

The University of California, Irvine Brain-Computer Interface Lab is actively recruiting for a post-doctoral scholar to join our research team in designing brain computer interfaces (BCIs) to help people with severe motor impairment from neurologic disorders.  We are seeking highly motivated individuals to start work on a new project using BCIs to rehabilitate motor function in people with traumatic brain injuries (TBIs).  This project is part of a collaboration with Northwestern University, the Rehabilitation Institute of Chicago (RIC), and the Rancho Los Amigos National Rehabilitation Center. This work is multidisciplinary, and we collaborate closely with other laboratories, thus providing tremendous educational and networking opportunities.

Desired qualifications include a PhD in biomedical engineering, electrical engineering, physics, neuroscience, computer science or related fields. Experience in BCIs or other neural prosthetics application is preferred.  Candidates should possess neuroscience and machine learning/statistical/signal processing background as well as proficiency with Matlab and/or C/C++.  Candidates should also have experience with EEG, electrocorticography (ECoG), or local field potential signals. Interest in staying for a 4 to 5 year time period is preferred. Finally, candidates should also have experience with working with human research subjects and have good interpersonal communication skills.

Interested candidates should submit a curriculum vitae, personal statement, and contact information for at least 2 references to Prof. An Do (and@uci.edu).