Postdoctoral Research Fellow

Postdoctoral Research Fellow

About the Opportunity

Job Summary:

Northeastern University invites applications for a Postdoctoral Research Fellow position in natural language processing and AI safety. The successful candidate will join Prof. Annika Schoene's research group in Charlotte, North Carolina, and contribute to research at the intersection of NLP methods, AI safety, and high-risk application domains. Areas of interest include language model evaluation, robustness, safety assessment, benchmarking, and language-based analysis in health and mental health contexts.

Minimum Qualifications:

• PhD in Computer Science, Information Science, Computational Linguistics, Machine Learning, or a related field
• Strong research background in NLP, machine learning, or closely related areas
• Evidence of research productivity, including publications in strong peer-reviewed venues (e.g., ACL, EMNLP, AAAI, ICML, NeurIPS) or evidence of strong research contributions in AI/ML
• Excellent written, verbal, and interpersonal communication skills
• Participating in project team meetings, seminars, and actively contributing to research progress

Preferred Qualifications:

• Experience with NLP methods such as language model evaluation, stress testing, robustness assessment, benchmarking, or related areas
• Interest in AI safety, robustness, evaluation, or responsible deployment of AI systems
• Experience working on applied problems in high-risk domains such as health, mental health, or other safety-critical settings
• Demonstrated ability to work both independently and collaboratively
• Interest or experience in proposal and manuscript development

Key Responsibilities & Accountabilities:

Lead and contribute to research projects in NLP and AI safety within Prof. Schoene's research group by designing, implementing, and evaluating computational methods for language model analysis and AI system evaluation. Contribute to grant development and broader research planning. Mentor graduate and undergraduate student researchers as appropriate.