PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science

Rutgers The State University of New Jersey
  • New Brunswick, NJ
    2 days ago

    Job Description

    Position Details

    Position Information

    Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary Details 69,293 Offer Information

    The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

    Benefits

    Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:

    • Medical, prescription drug, and dental coverage
    • Paid vacation, holidays, and various leave programs
    • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
    • Employee and dependent educational benefits
    • Life insurance coverage
    • Employee discounts programs

    For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.

    Posting Summary

    The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated postdoctoral researchers with expertise in artificial intelligence/machine learning and data science. Applicants must have completed their Ph.D. studies within the past year. Prior to submitting an application, they must identify an existing RAD Collaboratory faculty member as their postdoctoral mentor and provide the Mentor's Letter of Nomination (on Rutgers Letterhead) with their application materials. Successful candidates will work under the supervision of the Nominating Mentor and contribute to interdisciplinary research projects focused on important problems in science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, business applications, chemistry, and physics. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources.

    Position Status Full Time Posting Number 26FA0744 Posting Open Date 09/02/2026 Posting Close Date

    Qualifications

    Minimum Education and Experience

    PhD in Computer Science or related discipline.

    Has a proven track record of excellence in artificial intelligence/machine learning and/or data science

    Strong interpersonal, verbal, and written communication skills

    Good documentation habits

    Candidates in all-but-degree (ABD) status will also be considered (Degree Conferral in Process)

    Certifications/Licenses Required Knowledge, Skills, and Abilities

    • Experience in GPU programming
    • Experience working in interdisciplinary research teams
    • Experience working with large and complex scientific datasets
    • Self-motivation and independence
    • A track record of productive research and peer-reviewed publications

    Preferred Qualifications Equipment Utilized

    Workstation/laptop

    Physical Demands and Work Environment

    Onsite in academic and collaborative working environment

    Overview

    Outstanding Benefits Package

    The RAD Collaboratory is located at Rutgers, State University of New Jersey and provides a friendly and collaborative working environment with excellent professional development opportunities. At Rutgers, this academic position offers New Jersey state benefits. There are personal rewards including comprehensive health and retirement plan options. For more details about state and university benefits,

    For more details about state and university benefits, see our employee benefits page.

    About the RAD Collaboratory (RADCollaboratory.Rutgers.edu)

    The RAD Collaboratory was established as a New Brunswick Chancellor-reporting Signature Initiative to serve as a hub that fosters Data Science and Artificial Intelligence/Machine Learning (AI/ML) research collaborations, student and postdoctoral programming, and community engagement in synergistic partnerships with related initiatives across the University.

    Statement

    Posting Details

    Special Instructions to Applicants

    Applicants should provide a cover letter relating their research and career interests to this position, a full curriculum vitae, Mentor's Letter of Nomination, and names and contact information for two references. Applications will be reviewed on a rolling basis until the position is filled. Start date flexible.

    Quick Link to Posting https://jobs.rutgers.edu/postings/280205 Campus Rutgers University-New Brunswick Home Location Campus Busch (RU-New Brunswick) City Piscataway State NJ Location Details

    Pre-employment Screenings

    All offers of employment are contingent upon successful completion of all pre-employment screenings.

    Immunization Requirements

    Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

    Equal Employment Opportunity Statement

    It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

    Posting Specific Questions

    Required fields are indicated with an asterisk (*).

    Applicant Documents

    Required Documents

    • Resume/CV
    • Cover Letter/Letter of Application
    • Curriculum Vitae
    • List of Professional References (contact Info)
    • Other Document

    Optional Documents

    Numbers & Facts

    LocationNew Brunswick, NJ

    Skills

    • Alliance/Partner Managementunmatched
    • Artificial Intelligence (AI)unmatched
    • Benchmarkingunmatched
    • Biologyunmatched
    • Biomedicineunmatched
    • Business Solutionsunmatched
    • Chemistryunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Visualizationunmatched
    • Disciplinary Actionunmatched
    • Employee Benefitsunmatched
    • Environmental Sciencesunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Interpersonal Skillsunmatched
    • Life Insuranceunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Modalityunmatched
    • Natural Language Processing (NLP)unmatched
    • Physicsunmatched
    • Prescription Drugsunmatched
    • Presentation/Verbal Skillsunmatched
    • Publicationsunmatched
    • Rapid Application Development (RAD)unmatched
    • Retirement Planunmatched
    • Tax Planningunmatched
    • Team Playerunmatched
    • Vaccinationunmatched
    • Writing Skillsunmatched

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