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Postdoctoral Researcher in AIJR103250

Rochester Institute of Technology

ROCHESTER, NYFull-timeSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
ROCHESTER, NY
Role Type
Research
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The postdoctoral researcher will conduct foundational AI and AI-for-science research, including the design and mathematical analysis of optimization algorithms for large-scale machine learning and their application to scientific problems. The role includes taking ownership of a research thread through publication, mentoring graduate students, contributing to proposals, teaching or guest-lecturing, and leading open-source code and benchmark infrastructure. The full-time appointment is for one year and may be renewed annually for up to three years, subject to performance and funding.

Skills & qualifications

RequiredNice to have

Skills

Research PlanningResearch MethodsAnalytical ProceduresResearch ComplianceResearch EthicsTeamworkCommunicationScientific WritingData AcquisitionProject ManagementTime ManagementMentoringStakeholder CollaborationAI TheoryPythonAlgorithm ImplementationEmpirical ValidationMulti-GPU TrainingHPC ClustersVersion ControlOpen-Source ReleasesMachine LearningOptimization AlgorithmsReproducible Research

Qualifications

Ph.D. Or Equivalent Terminal DegreeStrong Publication RecordStudent Mentoring ExperienceGrant Proposal ExperienceEnglish Communication

Full job description

Job Description Summary * Performs mostly independent research, collaborates on multi-scholar research initiatives, or may have lead responsibility for discrete components of a larger research project or program under general direction of a senior or principal researcher. Disseminates and publishes research results in peer-reviewed journals, reports, meetings, workshops, and conferences. Trains/teaches undergraduate and/or graduate students. Essential Duties & Responsibilities * Independently conducts research including, but not limited to, constructing hypotheses, design and planning of research studies, data management, model development, conducting experiments or assessments, analysis and interpretation of results, and evaluation of research techniques * Collaborates with internal and external stakeholders * Ensure compliance with institutional, sponsor, and regulatory requirements * Disseminates and publishes research results in peer-reviewed journals, reports, meetings, workshops, and conferences * Assists in the writing of grant proposals * May assist in teaching classes * May mentor and assist undergraduate and/or graduate students * May assist in managing research laboratories * Other duties as assigned Knowledge, Skills, & Abilities * Demonstrated ability to plan and execute research * Knowledge of applicable research methods and analytical procedures * Knowledge of research compliance and ethics * Knowledge of publishing/reporting requirements * Excellent teamwork and communication skills * Demonstrated potential for original or collaborative scholarship * Scientific writing skills demonstrated through peer-reviewed publications * Ability to acquire accurate, reproducible data * Critical eye towards consistency, reproducibility, and the scientific method in general * Excellent project and time management skills * Strong interpersonal and mentoring skills * Advocate for safety and ethics in the workplace * Ability to communicate findings and effectively work with sponsors and stakeholders Minimum Education & Experience * Ph.D. or equivalent terminal degree in a related field Additional Job Description * The successful candidate will work on foundational AI and AI for science: the design and mathematical analysis of optimization algorithms for large-scale machine learning and the application of these methods to scientific problems whose data is distributed across institutions or instruments (AI for science). * The postdoc is expected to take intellectual ownership of at least one research thread from problem formulation through theory, implementation, and publication; to mentor Ph.D. and M.S. students; to contribute to proposals to agencies; to teach or guest-lecture one course or topics seminar per year; and to lead the group's open-source code and benchmark infrastructure so that published results are reproducible. * This is a full-time appointment for one year, renewable annually up to a total of three years, contingent on performance and funding availability, with a negotiable start date. * Preferred Experience: * - strong publication record in top-tier machine learning or other venues or in IEEE/SIAM journals; * - solid background in AI theory * - proficiency in Python with demonstrated ability to implement and empirically validate algorithms at scale, including multi-GPU training in HPC/cluster environments; * - habits of reproducible research such as version control and documented open-source releases; * - interest in collaborating with domain scientists to apply these methods to real scientific data; * - experience mentoring students and contributing to grant proposals; * - excellent written and oral communication skills in English. *

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