Job Listings
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA
| Type: | Full-Time |
| Posted: | 02/16/2026 |
| Salary: | $67,600 - $91,826 per year |
School: Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area: Bioengineering
Position Description
Professor Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis.
The position focuses on developing AI agents inspired by and applied to complex biological systems, with an emphasis on autonomous reasoning, decision-making, and reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI frameworks that integrate computational bio/neuroscience principles with modern machine learning techniques.
Basic Qualifications
Ph.D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering).
Additional Qualifications
A strong research record demonstrated by publications in leading peer-reviewed journals and conferences (e.g., NeurIPS, ICML, ICLR, Neuron, Nature Methods, or related venues) is preferred. In addition, the successful candidate should demonstrate these skills:
Required application materials submitted through this site include 2-3 recommendation letters, a statement of research interest, and a current CV.
Contact Information
Melissa Mendez
Contact Email: mmendez@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required: 2
Maximum Number of References Allowed: 3
Department/Area: Bioengineering
Position Description
Professor Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis.
The position focuses on developing AI agents inspired by and applied to complex biological systems, with an emphasis on autonomous reasoning, decision-making, and reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI frameworks that integrate computational bio/neuroscience principles with modern machine learning techniques.
Basic Qualifications
Ph.D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering).
Additional Qualifications
A strong research record demonstrated by publications in leading peer-reviewed journals and conferences (e.g., NeurIPS, ICML, ICLR, Neuron, Nature Methods, or related venues) is preferred. In addition, the successful candidate should demonstrate these skills:
- Expertise in machine learning and AI, particularly LLM fine-tuning and reinforcement learning
- Experience with multi-agent systems or autonomous AI frameworks
- Solid foundation in computational biology
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX)
- Strong analytical, problem solving, and communication skills
- Ability to work independently and collaboratively in interdisciplinary research environments
Required application materials submitted through this site include 2-3 recommendation letters, a statement of research interest, and a current CV.
Contact Information
Melissa Mendez
Contact Email: mmendez@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required: 2
Maximum Number of References Allowed: 3
