Postdoctoral Research Fellow

Postdoctoral Researcher

Northeastern University's Institute for Experiential AI has established a position for a Postdoctoral Researcher focused on work at the intersection of artificial intelligence and Responsible AI, NLP & IR 3.0, Health/Wellness, and/or Life Sciences. The Postdoctoral Researcher will be based out of either the Boston, MA or Portland, ME campus and conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding applications, and project manage in connection with projects.

This position has a two-year, renewable appointment.

The position will be associated to one of the following specialization areas:

• Responsible AI:
  This area focuses on the design, development and governance of AI systems, as well as the evaluation, monitoring, and auditing of such systems.
• NLP & IR 3.0:
  This area covers the study of large language models and other natural language processing techniques applied to language understanding and the next generation of search engines.
• AI + Health:
  This area leverages AI to study and solve complex problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields.
• AI + Life Sciences:
  Participate in research projects that are related to AI and the life sciences. These may include applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.

Minimum Qualifications:

• A Ph.D. in computer science, AI, Data Science, computational biology, Ethics in AI, or health-related field by the appointment start date.
• A record of outstanding research during the Ph.D., as evidenced by publications, grants, software outputs, and other scholarly measures of impact.
• Proposal preparations for sponsored research funding, research experience involving team science projects, and project management experience are pluses.

Values & Abilities:

• Ability to work both independently and collaboratively towards common research goals.
• We expect postdoctoral fellows to establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms.
• Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials, journalists/media, etc.
• Comfortable navigating complex internal processes and structures.
• Respect for diversity and the importance of interdisciplinary teams.
• Entrepreneurial mindset, self-starter and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and working across multiple teams/business units.
• Team-player who can collaborate effectively in a university setting.
• Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University.

Additional qualifications:

Responsible AI

• Knowledge of key concepts like bias and fairness.
• Experience on monitoring ML models (bias, drift, etc.) and algorithmic audits

Natural Language Processing

• Knowledge of key tasks such as entity recognition and entailment.
• Experience with word embeddings and large language models.

AI in Health

• Strong research record using AI in a health-related discipline.
• Applicants with the following training will be considered:
• PhD in computer science, machine learning, AI or related computational field, or,
• Ph.D. in a health-related discipline with experience in experimental science, devices / technology, data collection, unique populations, etc, that can be leveraged for AI applications..
• Strong written / verbal communication and interpersonal skills
• Ability to think critically and creatively, and to collaborate as part of a team

AI in Life Sciences

Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational biology, mathematical biology, etc. Must have experience in bioinformatics and/or biological data formats. Must have progressive experience that demonstrates the ability to plan and execute research. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of 'omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.).

Required Documents :

Please submit the following documents in a single Word/ PDF document along with your application-

Cover Letter (please specify the specialization(s) you are interested in) Resume Few samples of your…