08 Postdoctoral Fellowship at University of British Columbia, Canada

Autonomous and self-driving laboratories are transforming how scientific experiments are designed, executed, and optimized. By combining reinforcement learning, Bayesian optimization, and real-time sensing with laboratory instrumentation, closed-loop systems can accelerate discovery and improve experimental efficiency. However, building robust and interpretable autonomous experimentation systems remains a major research challenge.

The successful candidate will develop reinforcement-learning and decision-making algorithms for autonomous laboratory platforms. The project will focus on closed-loop experimental design, model-based and data-efficient reinforcement learning, and integration of AI models with real-world laboratory systems. The Postdoctoral Fellow will work closely with experimental collaborators to translate computational methods into operational autonomous experimentation pipelines and to publish methodological and system-level advances.

Recent advances in neuroscience have generated large-scale, multimodal datasets spanning neural imaging, electrophysiology, behavior, and molecular profiling. While these data offer unprecedented opportunities to understand brain function, integrating and interpreting them across modalities remains a fundamental challenge.

The successful candidate will develop computational and machine-learning frameworks for multimodal neuroscience data. Research will focus on neural data integration, neural circuit modeling, biologically grounded representation learning, and foundation models for neurobiology. The Postdoctoral Fellow will work closely with experimental collaborators to connect computational innovations to biological insight, with the goal of producing high-impact publications in computational neuroscience and AI.

Recent advances in single-cell and spatial omics technologies have enabled unprecedented resolution in the study of cellular states, interactions, and tissue organization. However, extracting robust, interpretable, and biologically meaningful insights from these high-dimensional and multimodal datasets remains a major challenge.

The successful candidate will develop next-generation computational and machine-learning frameworks for single-cell, spatial, and multimodal omics data. The project will focus on multimodal representation learning, uncertainty quantification, and interpretable and biologically plausible modeling, with the goal of building foundational AI tools that enable biological discovery in cancer, regenerative medicine, and neuroscience. The Postdoctoral Fellow will work closely with experimental collaborators to apply these methods to real biological datasets and to produce high-impact publications.

Many Canadians living with ongoing muscle, bone, or joint (musculoskeletal) pain face long waits for diagnosis and care. Because pain often does not appear on scans or tests, it is frequently misunderstood or dismissed. Current digital triage tools such as HealthLink 811 and Ada are not designed for musculoskeletal issues and perform poorly for these conditions. The DigiMSK lab studies how digital health tools could improve communication between patients and clinicians and speed up diagnosis. 

The Postdoctoral Research Fellow will lead work to develop prototypes of patient-centred generative AI tools that reduce musculoskeletal diagnostic delay and support access to musculoskeletal care. This position offers the opportunity to work at the intersection of AI and health sciences, focusing on developing machine learning approaches to diagnosing musculoskeletal pain conditions, including low back pain and osteoarthritis. The fellow will be supported to apply for grants to extend work in this field.

The position is a 1-year funded role, supported by the UBC AI & Health Network (https://aihealth.med.ubc.ca/). There is potential for re-appointment, contingent on successful grant applications. The Postdoctoral Research Fellow will receive support to apply to the Canada Postdoctoral Research Award program in September 2026.

The expected salary for this position is $60,000 – $80,000 per annum. The Faculty of Medicine is committed to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate.

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. ​​​​​​

The Department of Orthopaedics in the Faculty of Medicine at the University of British Columbia (UBC) Vancouver campus invites applications for a full-time Postdoctoral Research Fellow with expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be a part of the Walk Tall research team based at BC Children’s Hospital. The Postdoctoral Fellow will work with a high degree of independence and set priorities under broad directives from Dr. Anthony Cooper and other senior research staff. This position will also provide the candidate with excellent opportunities for growth in the field of clinical research.

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career.

The School of Biomedical Engineering (SBME) at the University of British Columbia invites applications for a full-time Postdoctoral Research Fellow jointly supervised by Dr. Sarah Hedtrich and Dr. Eric Jan. This position focuses on understanding and engineering mRNA dynamics and intracellular trafficking to develop tissue-optimized RNA cargo for next-generation gene therapies. The role is part of a broader three-year initiative to advance RNA-based therapeutic design.

This interdisciplinary project will investigate the intracellular dynamics and kinetics of gene editors and RNA molecules to improve the precision and efficacy of gene therapies.