Research Associate in Computational Neuroscience
2 weeks ago
Company Overview
The A. James Clark School of Engineering at the University of Maryland is recognized as a leading institution in engineering education and research. It is dedicated to fostering innovation and developing the next generation of engineering professionals. The school promotes a collaborative atmosphere that encourages groundbreaking projects aimed at solving pressing global issues.
The Imaging- and Neuro-computations for Precision Informatics Research (INSPIRE) Lab, situated within the Fischell Department of Bioengineering, is at the forefront of integrating data science with neuroscience. The lab focuses on modeling and analyzing complex brain dynamics to enhance our understanding of brain functions and neurological conditions through advanced multimodal imaging techniques.
INSPIRE Lab is equipped with state-of-the-art computing resources and is strategically located near prominent neuroimaging facilities. The University’s proximity to key research institutions and hospitals provides ample opportunities for collaboration. The campus is also conveniently located, offering a variety of living and recreational options.
Position Overview
This position is for a Postdoctoral Researcher at the A. James Clark School of Engineering, supported by the NIH Brain Initiative, with a focus on computational modeling. The role entails the development of statistical, machine learning, and deep learning models, alongside information-theoretic methodologies and other computational tools tailored for neuroimaging data analysis. The successful candidate will spearhead these initiatives while benefiting from mentorship in research methodologies, scientific communication, conference presentations, manuscript preparation, and contributions to grant proposals.
The Principal Investigator of INSPIRE Lab is committed to providing individualized mentorship that aligns with the career aspirations of the postdoctoral researcher, while actively promoting Diversity, Equity, and Inclusion (DEI) within the lab environment. Compensation is aligned with NIH postdoctoral standards and includes a comprehensive benefits package. The position is structured as a renewable annual contract, with an expectation of 2-3 years of postdoctoral training.
Essential Qualifications:
- Ph.D. in Electrical & Computer Engineering, Physics, Statistics, Computer Science, or a related discipline.
- Demonstrated experience with publications in deep learning and statistical modeling.
- Proficient programming skills in Python and MATLAB; familiarity with Linux operating systems.
Desirable Qualifications:
- Strong quantitative skills with a comfort level in mathematical derivations.
- Excellent communication and writing abilities.
Application Process:
Interested candidates should prepare the following materials: 1) a cover letter outlining their relevant experience and interest in the position, 2) a current CV, and 3) a list of three professional references. All documents should be submitted as a single PDF file.
Offers of employment are contingent upon the successful completion of a background check. The University of Maryland is an equal opportunity employer and adheres to all applicable federal and state laws regarding nondiscrimination and affirmative action.
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