At the Institute of Neural Engineering, Graz-BCI Lab at the Graz University of Technology, Austria, several PhD positions (starting any time) is available.
We are looking for a person with a MSc or Dipl.-Ing. in information & computer engineering, computer science, biomedical engineering, with experience/background in some of the following fields: EEG, neuroscience, biosignal processing, machine learning, brain-computer interfaces, motor neuroprosthetics, functional brain mapping.
English is essential. High motivation and curiosity, good inter-personal and communication skills and the ability to work in a team are strongly requested.
This position offers to work within an ERC Consolidator Grant “Feel Your Reach” and gives the possibility to acquire a PhD in Biomedical Engineering, Information & Computer Engineering or Computer Science by doing research in the field of EEG-based motor neuroprosthesis control.
More information about the institute can be found on the website: http://bci.tugraz.at/
Graz University of Technology aims to increase the number of women in those areas where they are underrepresented and urges them to apply.
Job grading: according collective contract for employees of Austrian universities; monthly remuneration € 2.696,50 x 14 gross (14× per annum). Starting Date: May 1 2016
Applications including a curriculum vitae, a letter of interest, two letters of recommendation and other supporting material should be sent electronically to: Prof. Dr. Gernot Müller-Putz, Institute of Neural Engineering, Graz University of Technology, Stremayrgasse 16/4, A-8010 Graz, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.
Faculty of Computer Science and Biomedical Engineering
To increase the number of women of the scientifc staff with professorship at TU Graz a position of a University Asssistent (PostDoc) with Tenure Track for women is offered at the Faculty of Computer Science and Biomedical Engineering. This position is for the time beeing set to a limit of 6 years - with the possiblity of an qualification agreement. 40 hours/week, starting March 1st, 2016 at the Institute of Neural Engineering.
Terms of Admission: The successful candidate should have a PhD in psychology, cognitive neuroscience or related fields, very good English (written/spoken) skillsa and a good number of publications in excellent scientific journals and conferences in the area of cognitive neuroscience or biosignal processing with application in brain-computer interface research.
Desired Qualifications: Excellent knowledge in cognitive neuroscience focusing on visual and motor information processing and Brain-Computer Interfacing or Neuro-Information Systems research is expected. Demonstrable experience (application and analysis) with neuroscience methods like EEG, fMRI and fNIRS is required. Furthermore experience with eye-tracking and motion capture systems and analysis of physiological data (e.g. heartrate, blodd preasure, ect.) is a plus. Basic neurophysiological knowledge and methodological and statistical expertise. Many years of experience in teaching and the supervision of students (Master/ Bacc). Research experience abroad. Experience in the application and co-management of international research projects. We are looking for highly motivated, enthusiastic and creative researchers with strong experimental and social skills.
The application, CV and other material has to be sent (indication of name of position and number: 7090/15/023) to Graz University of Technology, Dean of the Faculty of Computer Science and Biomedical Engineering, Univ.-Prof. Dipl.-Ing. Dr.techn. Franz Wotawa, Inffeldgasse 10/II, A-8010 Graz (This email address is being protected from spambots. You need JavaScript enabled to view it.) latest March 1, 2016.
Job grading: B 1 according collective contract for employees of Austrian universities; monthly renumeration € 3.928,80 gross (14× per annum). Closing Date for Applications: January 7, 2016 code: 7090/15/023
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.
Background, skills, and motivation in some or all of the following areas are desired: • Programming in Matlab and/or LabVIEW for data acquisition and analysis. • Standard data acquisition techniques with off-the-shelf hardware (e.g., NIDAQ). • Background in signal processing, statistical modeling, and machine learning. • Excellent communication and technical writing skills in English. • Interest in neuroscience and neural engineering with academic career aspirations.
The position is open until filled; early applications will receive the most consideration. Motivated applicants from diverse backgrounds are welcome; qualifying women and minority candidates are strongly encouraged to apply. Excellent opportunity for recent graduates looking for a foothold in neural engineering. For details, please respond by e-mail (subject line “NSL Postdoc”) with complete CV, list of three references, cover letter, and sample publications to:
PI: Sridhar Sunderam, Ph.D. Dept. of Biomedical Engineering University of Kentucky E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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.
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 (This email address is being protected from spambots. You need JavaScript enabled to view it.).
