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Northeastern University

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Postdoctoral Research Fellow in Artificial Intelligence, Responsible AI, NLP, Health and Life Sciences Northeastern University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a full-time, two-year renewable postdoctoral appointment. The posting does not state a salary or stipend amount. Benefit-eligible employees receive Northeastern University's benefits package, including medical, vision, dental, paid time off, tuition assistance, wellness and life benefits, retirement benefits, and commuting and transportation support.

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Country

United States

University

Northeastern University

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Keywords

Computer Science
Medical Imaging
Biology
Artificial Intelligence
Information Retrieval
Natural Language Processing
Computational Biology
Neuropsychology
Statistics
Bioinformatic
Responsible Ai
Large Language Models
ML

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About this position

Northeastern University's Institute for Experiential AI is seeking a Postdoctoral Research Fellow to conduct applied research at the intersection of artificial intelligence and major societal and scientific challenges. The appointment may focus on Responsible AI, Natural Language Processing and Information Retrieval, AI and Health, or AI and Life Sciences.

The Responsible AI track addresses the design, development, governance, evaluation, monitoring, and auditing of AI systems, including issues of bias and fairness. The NLP and IR track covers large language models, language understanding, entity recognition, entailment, word embeddings, and the development of next-generation search technologies.

Researchers working in AI and Health may apply artificial intelligence to healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, neuroscience, and other health-related areas. The AI and Life Sciences track includes neural-network analysis of multi-omic data, genotype-based phenotype prediction, biological data integration, scientific programming, data analysis, and collaboration on life-sciences research.

Across the specialization areas, the fellow will prepare research for journal and conference publication, contribute to sponsored research proposals, and support project management and team-based research. The Institute for Experiential AI provides an interdisciplinary environment focused on human-machine collaboration and on developing AI-driven technologies with meaningful societal impact. The fellow will work with academic, industry, government, and other stakeholders in a diverse research community led by Professor Usama Fayyad.

The position is based at Northeastern's Boston, Massachusetts, or Portland, Maine, campus and offers a two-year renewable research appointment.

Funding details

This is a full-time, two-year renewable postdoctoral appointment. The posting does not state a salary or stipend amount. Benefit-eligible employees receive Northeastern University's benefits package, including medical, vision, dental, paid time off, tuition assistance, wellness and life benefits, retirement benefits, and commuting and transportation support.

What's required

Applicants must hold a Ph.D. in computer science, artificial intelligence, data science, computational biology, ethics in AI, a health-related field, or an equivalent quantitative/computational life-sciences discipline by the appointment start date. Candidates should demonstrate outstanding doctoral research through publications, grants, software outputs, or other scholarly impact. Depending on specialization, preferred or required experience includes responsible AI concepts such as bias, fairness, model monitoring, and algorithmic auditing; NLP tasks such as entity recognition, entailment, word embeddings, and large language models; AI research in health-related disciplines; or bioinformatics, biological data formats, research software development, FAIR data/open science, life-sciences data systems, and omics analysis. Strong written and verbal communication, independent and collaborative working ability, scientific reproducibility, ethical data and algorithm use, interdisciplinary teamwork, project management, and the ability to work with diverse stakeholders are expected. Applicants must submit a cover letter, resume, research-paper samples, and a one-page research statement addressing research contributions, future directions, collaborators, and industrial collaboration experience.

How to apply

Apply through the Northeastern University Workday application portal. Submit one Word or PDF document containing a cover letter specifying preferred specialization(s), resume, research-paper samples, and a one-page research statement.

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