Research Associate in Computational Modeling
2 weeks ago
Company Overview
The University of Maryland's A. James Clark School of Engineering stands as a prestigious institution, recognized among the top engineering programs in the United States. The school is celebrated for its pioneering research, innovative educational approaches, and dedication to nurturing the next generation of engineering professionals. Its vibrant atmosphere encourages collaboration on groundbreaking projects aimed at solving pressing global issues.
The Imaging- and Neuro-computations for Precision Informatics Research (INSPIRE) Lab is a new initiative within the Fischell Department of Bioengineering at the A. James Clark School of Engineering. INSPIRE Lab merges data science with neuroscience, focusing on the modeling and analysis of spatiotemporal brain dynamics to elucidate brain functions and neurological disorders through the utilization of multimodal imaging data.
INSPIRE Lab is strategically located near advanced neuroimaging core facilities and is equipped with high-performance computing resources. The University of Maryland's proximity to key government research institutions and leading hospitals opens up numerous opportunities for collaboration. The campus offers a diverse range of living and recreational options.
Position Overview
This position is for a Research Associate specializing in computational modeling, supported by the NIH Brain Initiative. The role emphasizes the development of statistical, machine learning, and deep learning models, alongside information-theoretic methodologies and other computational tools tailored for neuroimaging data. The selected candidate will spearhead these initiatives while receiving mentorship in research methodologies, scientific communication, conference presentations, manuscript preparation, and grant proposal contributions. Furthermore, the Research Associate will be tasked with mentoring junior researchers and aiding in the upkeep of the lab's computational systems and environment.
The Principal Investigator of INSPIRE Lab is dedicated to offering personalized mentorship aligned with individual aspirations, while actively fostering Diversity, Equity, and Inclusion (DEI) within the lab. Compensation aligns with NIH postdoctoral standards and includes a comprehensive benefits and retirement package provided by the University. 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.
- Publications demonstrating expertise in deep learning and statistical learning models.
- Proficient coding skills in Python and MATLAB; familiarity with Linux operating systems.
Desirable Qualifications:
- Strong quantitative skills, with comfort in formula derivations.
- Excellent communication and writing abilities.
Application Process:
Interested candidates should compile the following materials: 1) a cover letter detailing previous experience and interest in the position, 2) a current CV, and 3) a list of three professional references. The cover letter should outline the candidate's relevant experience, interest in the role, and preferred start date. Applications should be submitted as a single PDF document.
All employment offers are contingent upon the successful completion of a background check. The University of Maryland is an equal opportunity/affirmative action employer, committed to compliance with all applicable federal and state laws regarding nondiscrimination and affirmative action. All qualified applicants will receive consideration for employment.
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