Postdoctoral Fellow - Petzschner lab
- Brown University
- Location: Providence, Rhode Island
- Category: Admin-Laboratory and Research
- Posting Date: 06/29/2021
- Application Deadline: Open until filled
The Robert J. and Nancy D. Carney Institute for Brain Science at Brown University is seeking a Postdoctoral Fellow to join the laboratory of Frederike Petzschner, working in collaboration with Prof. Michael Frank, Prof. Thomas Serre and Prof. Steven Rasmussen.
The successful candidate will undertake high-quality, high-impact research in the area of computational psychiatry at the new Center for Computational Brain Science at Brown University.
The work will focus on the development and optimization of behavioral tasks and computational models aimed at characterizing perception and learning, in both the mentally well and unwell (e.g., investigating their interplay with mood & (psycho)somatic symptom dynamics). The goal is to develop novel markers (i.e., individual characteristics of time perception, interoception and reward learning) and interventions based on computational brain research that will be leveraged in concrete clinical applications.
The postdoc will be supported by a team of professionals — software engineers, designers and scientists — to deploy these tests on our own smartphone application, which includes physiological measurements. The project is highly interdisciplinary and takes a new approach to combining basic computational research with translational technology. Thus, we welcome diverse perspectives and will encourage contribution of new ideas throughout all aspects of research and application development.
In addition to performing traditional postdoctoral duties, the successful candidate will become an innovator in the Brainstorm program at Carney. The program is unique in that it aims at merging the best of both worlds: A strong academic basis for new discovery with the support and infrastructure typical in industrial settings, including seed funds, team support (see above), business training and support to build spin-off companies. It thus serves as a launching pad for both researchers who wish to pursue classical academic careers as well as those who are entrepreneurial and would like to explore other paths.
As an innovator, the successful candidate will also be part of an interdisciplinary team consisting of faculty and postdocs from a variety of fields. The role will thus allow for contribution to other application-oriented brain science projects across research laboratories.
The successful candidate must hold a PhD in neuroscience, psychology, cognitive science or a quantitative field (e.g., computer science, engineering, physics). If not already held, the degree must have been obtained by the agreed start date. The candidate also needs to have expertise in computational methods, either in the study of learning (e.g., Bayesian models, reinforcement learning) and/or perception (e.g., psychophysics), as well as proficiency in programming (e.g., Matlab, Python). Additional experience with machine learning techniques, EEG, commercialization, and/or clinical populations is preferred. We are embarking on a new line of research that will benefit from a variety of viewpoints and different domain knowledge across multiple levels of analysis, including basic perceptual processing, mood and emotions, decision-making and physiology. As such, candidates with past work not directly related to the lab's core research on Computational Psychiatry, or who have worked primarily with animal models, might still be a great fit for this position.
Please submit a Cover Letter and CV. References will be requested at a latter stage in the process.
The initial appointment is for 2 years. Please note, to comply with NIH funding eligibility, applicants must be US citizens or have permanent resident status. Review of applications will begin immediately and will continue until the position is filled or the search is closed.
Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers qualified applicants for employment without regard to, and does not discriminate on the basis of, gender, race, color, national origin, sexual orientation, religion, protected veteran status, disability, or any other legally protected status.
Internal Number: 89641