A Research Specialist position is available in Matthew Botvinick's lab in the Princeton Neuroscience Institute, in collaboration with Francisco Pereira at Siemens Corporate Technology. This is a position within a team participating in the IARPA Knowledge Representation in Neural Systems program. The goal of the program is to develop models of how the brain represents conceptual knowledge, and how that knowledge is used when carrying out tasks like reading a sentence. These models will be tested using brain imaging data.
The main role in this position is as a programmer writing the code needed to build such models, while also being involved in experiment design and data analysis. Examples of tasks you might be asked to do:
- prepare text corpora for use in developing models
- implement evaluation tasks that the models developed will be benchmarked with
- collect material from online resources and behavioral experiments
- prepare stimuli for brain imaging experiments or model building
- help in designing and carrying out brain imaging and behavioral experiments
- analyze behavioral and brain imaging experimental data
It is an unusual position in that you will be gaining experience in both machine learning and cognitive neuroscience. In addition to the core research goals, we will also be delivering a concrete system to the funding agency, and hence this will be a fast-paced project. You will be working directly with the PIs and also graduate students and research scientists in the team.
Essential qualifications are experience developing software in MATLAB or Python (Perl is also useful), as well as an undergraduate degree in computer science, biomedical engineering, cognitive neuroscience or a related field. Preferred qualifications are knowledge in natural language processing, machine learning, and collection, preprocessing and analysis of brain imaging data (e.g. SPM, FSL or AFNI). The final candidate will be required to pass a background check successfully.
This is a 1 year position, starting as soon as possible, with an additional year possible contingent on funding availability and performance. To apply, please go to https://jobs.princeton.edu/applicants/jsp/shared/Welcome_css.jsp
and use “Search Open Positions” with requisition number 1400452.
Please email email@example.com with any pre-application inquiries.