Post Doctorate Researcher

Description

POSTDOCTORAL RESEARCHER

The Computational Medicine Laboratory 

New York University

The Computational Medicine Laboratory (CML) directed by Professor Rose Faghih at NYU Tandon School of Engineering (lab space located within the NYU Langone Medical Center’s Tech4Health Institute) is seeking to hire a highly motivated and creative Post Doctoral Researcher/Post Doctoral Associate to join exciting NIH and NSF-funded projects to conduct research on developing statistical signal processing and artificial intelligence for wearable and portable devices of the future that can act as physical or mental health trackers. The Computational Medicine Lab mainly focuses on designing optimization, estimation, signal processing, and machine learning algorithms for closed-loop biomedical and neural engineering applications. New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly and the NYU Polytechnic School of Engineering. The Tech4Health Institute, located in Manhattan, is the NYU Grossman School of Medicine’s Institute for Health Technology and Engineering. 

This project involves a collaboration with the NYU Grossman School of Medicine and the NYU Center for Neural Science.  Candidates will be responsible for designing signal processing and/or machine learning algorithms, statistical data analysis, validation in real-time experiments with human recordings, developing IRB protocols and performing human subject research, writing scientific papers, grant writing, mentoring graduate and undergraduate students and course projects, taking part in outreach activities, and performing work in the Computational Medicine Lab, a multidisciplinary environment, under the supervision of Professor Faghih.

The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and a passion for developing statistical signal processing, machine learning, and various mathematical algorithms for biomedical engineering applications. We are seeking individuals with a strong background in electrical, biomedical, mechanical, computer, or aerospace engineering, and/or computer science/statistics/statistical physics/biophysics/computational neuroscience/data science/machine learning, and/or applied mathematics/control theory/signal processing/operations research, or related fields to develop mathematical algorithms for biomedical engineering and neuroscience applications. The main application focus areas will include fatigue, inflammation, metabolism, mental health regulation and optimizing human performance. Prior experience with human subject research is recommended but not required. We welcome applicants from recent PhDs and individuals seeking additional postdoctoral training.  Eligible candidates will be required to present eligibility to work in the United States.

In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $62,500.

Tandon faculty and students are at the forefront of the high-tech start-up culture in New York City and have access to NYU’s Global Network University. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Tech4Health Institute is NYU Langone’s research and development hub for new biomedical instruments and technologies. The Tech4Health Institute connects engineers and physical scientists with clinicians and life scientists across NYU to address key unsolved problems and unmet needs in biomedicine.

Qualifications

We welcome applicants from recent PhDs and individuals seeking additional postdoctoral training.  Eligible candidates will be required to present eligibility to work in the United States.

Application Instructions

Applicants should submit a cover letter, a current CV including publication list, a list of three references with complete contact information, a research statement (discussing previous research experiences and future research plans), and a personal statement (discussing prior experiences working individually, in teams, mentoring and grant writing experience, career goals, and future plans). All application materials should be submitted electronically in Interfolio.

Review of applications will begin as soon as possible and will continue until the position is filled.  

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