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June 3-7, 2013
Asilomar Conference Center, Pacific Grove, California

BCI Job Board

Job Offers

BCI-1 (Date Posted: 1/23/14)
University of Freiburg, Germany

Research Theme: University of Freiburg, Germany, has acquired a large research cluster "BrainLinks-BrainTools" within the German Excellence Initiative. Aiming to develop medical technology which directly interacts with the nervous system, it unites the life sciences, engineering, and clinical applications. Within the cluster, PhD positions (100% TV-L E13) are open at the novel lab of Michael Tangermann, addressing research topics in the context of Brain-Computer Interfaces (BCI) and stroke rehabilitation: 1. Development of theories (statistics, mathematics) and algorithms in the field of machine learning for BCI applications, with special emphasis on adaptive and invariant methods for the decoding of mental states and brain networks in real-time. 2. Paradigm development, software implementation, execution and analysis of EEG experiments with (German speaking) patients and healthy users.

Key words: EEG, time-frequency analysis, phase synchrony, machine learning, pattern recognition, general linear model

Location: University of Freiburg, Germany
Supervisor: Dr. Michael Tangermann

#1) excellent MSc / Diploma degree
#2) a major in e.g. machine learning / artificial intelligence, cognitive science, neuroscience, mathematics, computer science / informatics, physics
#3) a strong interest in the combination of theoretical and experimental research in a highly interdisciplinary field.

For further information about the positions and about the application procedure, please read the full PhD call.

PhD Scholarship available Brain Signal Analysis using EEG (Date Posted: 9/26/13)
University of Kent at Medway, UK (40-50 mins from London by train)

Research Theme: This project aims to perform analysis on EEG (Electroencephalography) data to investigate mental fatigue. More generally, we aim to find an indicator for the identification of brain states (i.e. fatigue, non-fatigue) using novel methods. It might have a wide range of applications (i.e. military, sports and medical applications).

Key words: EEG, time-frequency analysis, phase synchrony, machine learning, pattern recognition, general linear model

Location: University of Kent at Medway, UK (40-50 mins from London by train)
Supervisor: Dr. Caroline Ling Li
Co-supervisors: Prof. Samuele Marcora, Prof. Howard Bowman

Three-year PhD scholarship is available to UK, EU and overseas students and will cover home tuition fees plus a maintenance grant equivalent to the full UK Research Council rate.

Applicant must have a good first degree or good Master's level degree. Ideally at Master level with relevant research experience. Strong programming or/and math skill is preferred. Previous research experience leading to publications would be an advantage.

How to apply
Send covering letter and CV together with contacts of two referees to c.li@kent.ac.uk, including contact detail, research interest and your suitability for this award. Please also include experience, if any, of academic or professional research; experience, if any, of teaching or mentoring.

You must also complete the online form for making a formal application for a PhD (Doctor of Philosophy Research) in Computer Science at the University of Kent via

Successful candidate will be based at Medway Campus. Information about Medway Campus can be found here: http://www.kent.ac.uk/locations/medway/campus/index.html

For more information, please go to: http://www.cs.kent.ac.uk/people/staff/cl339 or contact c.li@kent.ac.uk
Kent provides a dynamic and challenging academic environment and has an excellent reputation for collaborative research with universities around the world. For more information about Kent's research portfolio see: www.kent.ac.uk/pg

Professorship in Computer Science (Date Posted: 9/20/13)
Graz University of Technology

We are searching for candidates with demonstrated scientific excellence that will represent the area of Medical Informatics in research and teaching. We expect a focus on:

Multimodal Biosignal Analysis
Brain Imaging
Development of novel(neuro) rehabilitation techniques based on biosignals (mainly brain signals)

We expect readiness to collaborate across the boundaries of disciplines, faculties and universities, specifically in connection with the TUG Field of Expertise “Human- and Biotechnology” as well as within the cooperation initiative “BioTechMed” which brings together researchers from TU Graz, Graz University, and Graz Medical University).

Openness to applied research, participation in teaching on the bachelor, master and PhD level and the assistance in matters of academic self-administration are expected. Moreover, we anticipate proof of ability to obtain funding and manage national and international research projects.

Requirements for candidates:
An Austrian or international university education with a completed doctoral degree Habilitation (venia docendi) or an equivalent qualification in relevant research fields
Excellent scientific achievements, which are documented by internationally recognized publications
Impressive track record in obtaining national as well as international funding and management of research projects

We also expect active participation in the international research community, outstanding pedagogic and didactic capabilities and management experiences.

In order to represent the subject internationally, excellent knowledge of English is required in speech and writing. If the knowledge of German is not present, the willingness to learn the German language is expected. . The transfer of residence in the area of Graz is required.

Graz University of Technology is committed to increasing the percentage of female employees, especially in executive positions and as research staff. We therefore explicitly encourage qualified women to apply. Given applicants with equal qualifications, we give priority to women.

Application Process:
Candidates should submit a detailed application (including copies of diplomas, resume, list of publications, overview of past and planned research and teaching activities, copies of the 5 most important publications) in electronic form until latest

31st of October 2013
(date of postmark or receipt of email)

to the Dean of Computer Science, Prof. Franz Wotawa, Inffeldgasse 10/II, A-8010 Graz

Please make use of the application form http://bci.tugraz.at/openings/

Four year PhD studentship in Brain Computer Interfacing for Cognitive Rehabilitation (Date Posted: Before 9/20/13)
National University of Ireland Maynooth

Applications are invited for a four year doctoral studentship in BCI for Cognitive Rehabilitation to be located at the National University of Ireland Maynooth as part of the Science Foundation Ireland-funded INSIGHT program. The project aims to investigate the real time processing of electrical measures of brain activity associated with attention, perception and decision-making during interaction with digital media. This project will have a strong emphasis on cognitive aspects of such interactions both in healthy elderly people, as well as in elderly people with memory complaints. The successful candidate (under the primary supervision of Tomas Ward at NUI Maynooth) will work in close collaboration with neuroscience colleagues at the Institute for Neuroscience at Trinity College Dublin (Prof Ian Robertson) and Dublin City University (Prof Alan Smeaton). Further details on the project are available though contact with Dr Ward at the contact email given.

Funding Details: Studentship will cover fees and conference travel and pay a stipend of €18,000pa (tax free) for up to 4 years. The studentship will begin in September 2013.

Eligibility: Applicants should hold a minimum of an honours bachelor's degree at 2:1 level or equivalent in a relevant discipline such as bioengineering, computer science, electrical engineering, physics, or applied mathematics.

Application Process:
Candidates should send a CV, contact details for two academic referees and a short cover email to tomas.ward@nuim.ie by the application deadline - 30 June 2013.

Contact: Tomas Ward at tomas.ward@nuim.ie

Postdoctoral Fellowship (2 years) in Cognitive Neuroscience (Date Posted: Before 9/20/13)
Trinity College Dublin

Applications are invited for a two year postdoctoral fellowship in cognitive neuroscience, to be located at Trinity College Institute of Neuroscience as part of the Science Foundation Ireland-funded INSIGHT programme. This project, to be run in collaboration with engineering colleagues at the National University of Ireland Maynooth and Dublin City University, aims to evaluate the effects of real-time EEG-based feedback on key cognitive processes including error detection, decision making and attentional lapses in young and healthy elderly people, as well as in elderly people with memory complaints. Candidates should have completed a PhD in cognitive neuroscience or a relevant doctorate in neural engineering. They should have human EEG/ERP testing, data analysis and writing experience, preferably with strong experience with Matlab. Candidates should also have excellent statistical and presentation skills.

Trinity College Institute of Neuroscience (www.tcd.ie/neuroscience) is Ireland’s only dedicated neuroscience institute, with over 220 staff and students, 40 Principal Investigators and world class brain imaging (3T and small bore 7T research only MRI, with scan-compatible eye-tracking and pupillometry), EEG/ERP (multiple rigs), and Non-invasive Brain Stimulation (TMS, TDCS, TACS). Its NIEL (www.tcd.ie/neuroscience/neil) programme on aging includes a Memory Research Unit with over one thousand volunteers and which will provide the participants for the current study.

The starting salary is €33,975, rising to €34,974 for the second year. The successful candidate will have opportunities to seek additional research funding during the course of this fellowship.

For further information contact Professor Ian Robertson email iroberts@tcd.ie or Professor Redmond O’Connell, email REOCONNE@tcd.ie

Software or Computer Engineering (Date Posted: Before 9/20/13)
QUASAR, San Diego, CA

A position in software engineering is available at Quantum Applied Science & Research (QUASAR) Inc.

QUASAR is a world leader in non-invasive electrophysiological sensors. Our work builds on our revolutionary dry and wearable EEG and ECG sensors integrated with advanced algorithms to produce systems that monitor cognitive and physiological state.

The QUASAR family of companies provides an opportunity to work on a wide range of projects ranging from static electricity sensors, airborne and underwater surveillance systems, oil and gas exploration systems and lightening detection sensors, as well as physiological biosensors. Visit www.quasarusa.com, www.groundmetrics.com and www.quasarfs.com for more info.

The candidate will be developing data acquisition and processing software to control and interface with a variety of sensor hardware and graphically display results for research and commercial applications.

Initial work will focus on developing a cognitive state classifier based on advanced signal processing and machine learning algorithms. Other projects will include development of data acquisition software with GUI to control sensor hardware, development of advanced data analysis tools, as well as programming of embedded MSPs. All code is to be written for efficient real-time operation and documented to include modular testing and validation routines.

Skills and Requirements:

  • Computer science/engineering or relevant degree with extensive programming experience.
  • Demonstrated experience in software development and Windows-based programming.
  • Proficiency in C family and Matlab is necessary, and experience with Scientific Python and graphing libraries, Labview, Java and other data analysis software is a plus.
  • Experience in efficient programming and debugging of embedded MicroSignal Processors or FPGAs, data acquisition hardware, and on-board controllers is also highly desirable.
  • Demonstrated ability to plan and execute software development strategy, including validation and verification, defect prevention, static analysis and regression testing.
  • Good software documentation habits and technical writing skills are essential. And experience in programming to FDA standards and documentation of medical software, with clear understanding of Least Burdensome Approach, and comprehensive software development lifecycle is desirable.
  • Understanding of EEG, ECG, and fNIR signal processing and machine learning algorithms and classification methods is definitely desirable but not necessary
  • Responsible, self-driven individual; meticulous and dedicated to professional excellence, and motivated to seek new creative solutions to QUASAR’s cutting-edge projects.
  • Flexible team-player with good communication skills who is capable of independent work with a sense of urgency to resolve issues and complete project goals on time.

The position is available to start immediately. Salary is commensurate to experience.
If you feel you skills match our requirements, please email resume, copy of transcripts and a paragraph stating interest and general availability to jobs@quasarusa.com.

Job Location Information:

Quantum Applied Science & Researchwww.quasarusa.com
5764 Pacific Center Blvd., Suite 107, San Diego, CA 92121

Assistant Professor of Biomedical Engineering (Date Posted: Before 9/20/13)
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island

Applications are invited for a tenure-track position in Biomedical Engineering at the rank of Assistant Professor beginning in Spring 2014. We are particularly interested in candidates with research expertise in neuroengineering (including but not limited to neuro-rehabilitation, neurostimulation, neuro-robotic control, and/or neuro-interfacing). Exceptionally strong candidates with expertise in biosensors, biomedical signal/image processing, bioinstrumentation, or bioelectricity will also be considered. A PhD in biomedical engineering or closely related field is required at the time of appointment. The successful candidate will have the ability to teach and develop new undergraduate and graduate courses while conducting high-quality research in biomedical engineering.

The current 19 full-time faculty in the Department of Electrical, Computer and Biomedical Engineering conduct research in the following disciplines: bioinstrumentation; medical image and signal processing; cardiac electrophysiology and resuscitation; physiological modeling; assistive technology; neuroengineering; speech and auditory modeling; very large scale integrated (VLSI) circuit design; reliable logic circuit design and synthesis; on-chip measurements and testing; computer-based instrumentation; computer network security; high performance computer architectures; parallel and distributed computing; computer performance modeling and simulation; signal and image processing; detection and estimation theory; digital communications; control theory. The Department offers programs leading to the BS, MS, and PhD degrees. The interdisciplinary nature of our Department will provide the new faculty member with optional opportunities to also teach courses in electrical engineering or computer engineering. Collaborative, interdisciplinary research and teaching opportunities exist with faculty in the departments of Chemical Engineering, Mechanical Engineering, Biomedical and Pharmaceutical Sciences, Computer Science and Statistics, Biological Sciences, Cellular and Molecular Biology, Kinesiology, Physical Therapy, and Nursing. The University of Rhode Island has recently started an Interdisciplinary Neuroscience Program (http://www.uri.edu/gsadmis/inp/) and has core facilities for support (http://www.uri.edu/inbre/corelab/index.shtml). Ongoing collaborations currently exist with research hospitals and industries in the Providence and Boston areas.

The University of Rhode Island is a comprehensive doctoral research, Land Grant, Sea Grant and Urban Grant University. URI College of Engineering offers innovative undergraduate and graduate programs, stresses links between diverse fields of inquiry, and values outreach, scholarship, and laboratory-based learning. The University of Rhode Island is a medium-sized public university located near the southeastern end of the state and picturesque New England. The main campus is located in Kingston, an established, family-friendly, small community only five miles from the Narragansett Bay and the Atlantic Ocean. Rhode Island's proximity to the ocean moderates its weather compared to other New England states. The region offers excellent outdoor recreational activities, a good public school system, and ready access by car or public transportation to Providence, Boston, New Haven, and New York City metropolitan areas and airports.

Review of applications will begin in August 2013 and continue until the position is filled. The starting date is negotiable, and salary is commensurate with qualifications and experience. Applicants should submit: (a) a complete curriculum vitae; (b) two narratives describing 1. their research and how it relates to neuroengineering, and 2. their teaching background and preferences (including existing courses in our department and new courses); and (c) the names and contact information of at least three references to: https://jobs.uri.edu , Additional information is available at the URI Department of Electrical, Computer and Biomedical Engineering web site, www.ele.uri.edu or www.uri.edu/hr.

We hope to attract applicants who can teach in a diverse University community and have demonstrated ability in helping students from diverse backgrounds succeed. We are committed to building a multicultural work force and strongly encourage women, racial/ethnic/gender minorities, persons with disabilities, and covered veterans to apply. The University of Rhode Island is an Equal Opportunity/Affirmative Action employer.

This is a preliminary announcement for BCI Meeting 2013 attendees. Prior to the official announcement if you are interested in the position please contact Dr. Walter Besio - Besio@ele.uri.edu.

(Date Posted: Before 9/20/13)
Job openings for:
  • Postdoctoral Research Fellow
  • Research Engineer
  • Clinical Research Coordinator
Human Rehabilitation and Neural Engineering Laboratory (hRNEL)
Department of Physical Medicine and Rehabilitation
University of Pittsburgh

Our Research

The work in hRNEL (http://hrnel.pitt.edu/) spans a spectrum of neurophysiology and brain-computer interface (BCI) research, ranging from non-human primate studies and human subject studies in neurosurgical patients undergoing epilepsy monitoring and individuals with disabilities. We specifically emphasize translational and clinical neural engineering research. Here is an online video of one study: http://www.youtube.com/watch?v=yff20TlHv34

Postdoctoral Research Fellow

This is a one-year full-time postdoctoral research fellow position. The post-doctoral research fellow will be working closely with an interdisciplinary team of neural engineers, neurosurgeons, neurologists, computer scientists, and electrical engineers. With the supervision and support from the faculty investigators, this postdoctoral research fellow is expected to take a leadership role and work independently in experiment design, data collection, data analysis, and paper publication. He/she will be encouraged to develop independent research projects/expertise and develop individual fellowship grant proposals. There will be opportunities to closely interact with multiple faculty investigators from clinical, engineering, and basic science departments across both the University of Pittsburgh and Carnegie Mellon University campuses.

The candidate should possess a Ph.D. degree or equivalent in biomedical engineering, neuroscience or related field and have published scholarly articles in peer-reviewed scientific journals. We are interested in candidates with expertise in one or more of these areas:

  • Neuroprosthetics, brain-computer interface (BCI)
  • Neurophysiological recording
  • Neural or muscular stimulation
  • Human motor control and/or robotics
  • Bioelectrical modeling of field potentials for neural recording and stimulation
  • Human cognitive neuroscience (e.g. language) using quantitative/computational approaches
Alternatively, exceptional candidates with more traditional engineering backgrounds in robotics or electrical engineering may be considered if they have an interest in a neural engineering research career.

Research Engineer

This is a one-year full-time research engineer position. This position provides technical leadership and engineering support for the Human Rehabilitation and Neural Engineering Laboratory (hRNEL). The research engineer will contribute to the hardware and software design, development, setup, integration, and maintenance for research projects. He/she will also contribute to quantitative data analysis and participate in various aspects of our neural engineering research. This is a great opportunity for building hands-on biomedical engineering research and development experience. There are also opportunities for publishing in peer-reviewed research journals. Additionally, this research engineer will also be responsible for managing the computers and networks of the research lab.

The candidate should have at minimum Bachelor's degree in physical science or engineering, preferably Bio/Biomedical Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or other related engineering degree with strong computer programming experience. Advanced graduate degree in the above fields will be a plus. Preferably, this candidate will have 1-2 years experience working in the technical engineering applications of a research lab. Proficiency with MATLAB and LABVIEW will be desirable.

Clinical Research Coordinator

This is a one-year full-time research coordinator position. This individual will primarily contribute to the following clinical research activities: 1) This individual will manage and coordinate a clinical research project currently funded by the NIH to conduct brain-computer interface research in persons with disabilities. 2) This individual will help the research group to establish a close working relationship with multiple hospitals and clinics that provide service to individuals with movement disabilities caused by spinal cord injury, degenerative neurological disorders, muscular dystrophy, and etc. 3) This individual with contribute to and manage subject recruitment, presurgical procedures, brain-computer interface testing with the subjects, post-study follow-up. This is a unique opportunity to be part of a team to conduct highly pioneering and innovative clinical research.

The candidate should at minimum possess a bachelor degree in a branch of science, technology, or health field. The candidate should have good communication skill, both for direct interaction with individuals with disabilities and for drafting clinical research protocols. The candidate should have experience in human/clinical research. Past experience in clinical research project coordination and management and/or regulatory-related activity such as human study protocol development will be desirable. Additional experience with neuroscience, neurology, rehabilitation, or biomedical engineering will be a plus. This position is currently open, and we are seeking an individual to fill this opening immediately.


Interested candidates should submit the resume to Dr. Wei Wang (wangwei3@pitt.edu) or Dr. Jennifer Collinger (collingr@pitt.edu)

Postdoctoral Fellowship in Neural Engineering (Date Posted: Before 9/20/13)
San Francisco, CA

Applications are invited for a research position in the field of neural engineering with a specific focus on the development of a clinical electrocorticography (ECoG) based Brain Machine Interface (BMI) to control a multiple degrees-of-freedom exoskeleton. The candidate will become a part of an interdisciplinary group. He/She will participate in optimizing and implementing algorithms to process the ECoG data in real-time, develop control strategies and test in the target population. The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (Computer Science, Neuroscience, EECS, Applied Physics or other) with an emphasis on signals processing. Programming in Matlab and C/C++ will be an integral part of the project. Candidates with experience in BMIs, LFP/EEG/ECoG data analysis, real time signal processing will be preferred. The work will be performed in San Francisco, CA at both UCSF and the SFVAMC. Review of applications will begin immediately and continue until the position is filled. Applications including a cover letter, a CV and the names of three references should be sent to karunesh.ganguly@ucsf.edu.

BCI/EEG/Machine Learning Expert (Date Posted: Before 9/20/13)

InteraXon is Hiring

We've been working with BCI since 2003, creating applications and experiences that bring BCI to the humanity in meaningful ways.
We are a well-honed team who, together with our community, is creating the next generation of BCI.

We are hiring experts in EEG, BCI and Machine Learning

to create the future of BCI, working with massive amounts of data, tough signal processing, and compelling user interactions that bring the mind to life.

email Jobs@interaxon.ca or find Chris or Ariel to talk to

Postdoctoral Research Assistant on Myoelectric Control and Machine Learning (ER) (Date Posted: Before 9/20/13)

Working field: The work is part of the Marie Curie EU-project Amyo (Advanced Myoelectric Control of ProstheticSystems). The goal of this project is to enhance the control of electrically powered upper limb prostheses with information extracted from electromyographic (EMG) signals from the muscles of the residual limb.


  • Development, application and investigations on adaptive signal processing and machine learning techniques for EMG
  • Classification and regression techniques to extract robust control information
  • Special focus on nonstationarities in the EMG and methods to compensate them
  • EMG measurements with healthy volunteers and amputees
  • Reinforcement learning and online adaptation
  • Cooperation with our international partners from academia and industry
Requirements: Phd in machine learning, biomedical signal processing or related topics; the researcher must not have resided or carried out their main activity in Germany for more than 12 months in the last 3 years; good English language skills, spoken and written; good skills in MATLAB

Career Stage

Experienced researcher or 4-10 yrs (Post-Doc)


good English language skills, spoken and written; good skills in MATLAB the researcher must not have resided or carried out their main activity in Germany for more than 12 months within the last 3 years - experienced researcher i.e. 4-10years after master or equivalent)


Applications to: klaus-robert.mueller@tu-berlin.de,
Further information at: janne.hahne@tu-berlin.de

Job Seekers

Chadwick Boulay, M.Sc., Ph.D. View CV
My doctoral work at the Wadsworth center focused on the brain's influence over spinal reflexes during operant conditioning of those reflexes. My postdoctoral work at Keio University is investigating the association of cortical oscillations with corticospinal tract excitability and whether training these signals can modify corticospinal tract excitability. To this effect, I have been learning multimodal neuroimaging and I wrote a Python-based extension to BCI2000 for simultaneous BCI operation and measurement of electrophysiological responses to electric or magnetic stimuli. I would like to continue investigating how BCI technology can be leveraged to induce adaptive plasticity. I believe that my experience and my established paradigms and analysis methods should enable me to be productive immediately in a new environment. I hope to find a placement somewhere I can contribute and my wife and daughter can enjoy a happy and active life.

Christine E. King View CV
I am seeking a post-doctoral position in the field of brain computer interfaces (BCI) and neural signal processing, beginning September 2014. As a PhD student in the Department of Biomedical Engineering at the University of California, Irvine under the direction of Dr. Zoran Nenadic, I have focused on neurorehabilitative therapies and medical applications of electroencephalogram (EEG) and electrocorticogram (ECoG)-based BCIs. To this end, we have successfully developed a BCI-controlled virtual reality walking simulator for spinal cord injury patients, a BCI-controlled functional electrical stimulation device with potential applications in the treatment of foot drop in stroke patients, and a BCI-controlled hand orthosis with the potential to treat distal hand weakness in stroke patients. My current efforts are directed toward testing these technologies in individuals with spinal cord injury and stroke. In summary, my research experiences highlighted above have given me the necessary skills to pursue BCI research. I am well versed in the procedures required for EEG and ECoG-based BCI systems, as well as in the signal processing and data-driven machine learning algorithms developed by our laboratory at UCI. With these skills, I believe that I am well prepared to conduct BCI research in a post-doctoral setting.

Jason Godlove View CV
I'm currently seeking a post-doctoral or commercial research position in the field of sensory integration, neural signal processing, or brain computer interfaces. This August I will be completing my PhD work in the lab of Dr. Aaron Batista at the University of Pittsburgh. My dissertation is on the feasibility of touch, vision, and direct stimulation of the brain to provide feedback to ongoing movements as a precursor to improving control in brain-computer-interfaces. Additionally, I've collaborated on LFP, ECoG, and multi-unit BCI decoding projects, as well as, constructing and maintaining the lab's behavioral rig. I've written extensive behavioral and signal analysis tools in Matlab and have casual experience programming with C & LabView. My future goals are to build upon the foundations of my PhD, expand the range of subject models that I have a working experience with, and make a meaningful contribution at my next position with my existing skills.
Contact Information: Jason.Godlove@gmail.com

Han-Jeong Hwang View CV
I am a postdoctoral research fellow in the Department of Biomedical Engineering at Hanyang University, South Korea. To date, I have successfully conducted many non-invasive BCI research projects, and developed a variety of new and practical BCI systems, such as 'eye-closed' BCI system based on visual selective attention, SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard, vision-free BCI system using selective attention to auditory stimuli, P300-based BCI system controlling a robotic arm, neurofeedback-based motor imagery training system for BCIs, SSVEP-based BCI system controlling a functional electrical stimulation (FES), and BCI keypad system based on dual-frequency SSVEP stimuli. Recently, I also successfully applied some of the developed BCI systems to an ALS patient (visit the following web site to see published papers and demonstration movies: http://smbf.kr/). Through the active research activities, I could acquire a variety of scientific skills related to real-time brain signal processing (EEG and NIRS), machine learning/pattern recognition, and statistics. I have also various programing experience with high- and low-level languages (Matlab, C/C++, VC++, MFC, Qt, Assembler, and Visual Basic). Currently, I am looking for a new place for my postdoctoral research. Please contact with me, if you are interested in my related experience and capabilities.
Contact Information: h2j@hanyang.ac.kr
To publish a job offer or request, or to make any changes to a posting send an email to Brad Hughes at bradhughes314@gmail.com with the following information:
  • For Job Offers: Job title/position, job description and contact information
  • For Job Seekers: Brief description of who you are and what you are looking for, your contact information, and attach your CV/Resume in PDF format

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