These are jobs currently available in the BCI Community. They are sorted with the most recently posted jobs listed first.
We are presently looking to fill three positions, briefly summarized below.
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
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:
Learn more about the team and mission:
INSTRUCTOR / ASSISTANT / ASSOCIATE /PROFESSOR OF NEUROLOGY
Center for Neurotechnology and Neurorecovery
Massachusetts General Hospital
Harvard Medical School
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.
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 (firstname.lastname@example.org), AND to Mr. Guillaume CHARVET (email@example.com).
Selected candidates will be interviewed in Grenoble.
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),
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 firstname.lastname@example.org.
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
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
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.
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.
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
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
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
• Current NY state license
• Candidates with a background in stroke rehabilitation therapy
• 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: email@example.com
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 firstname.lastname@example.org 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/
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
Marc Slutzky, MD, PhD
Associate Professor of Neurology, Physiology, and Physical Medicine &
Northwestern University Feinberg School of Medicine
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).
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 email@example.com.
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.
- 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
2500 Gateway Centre Blvd, Suite 100
Morrisville, NC 27560
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.
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:
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 (firstname.lastname@example.org).
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:
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
Joe Carlone <JCarlone@khpslaw.com>
Postdoc Position in Brain-Machine Interface
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.
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 (email@example.com).