Postdoctoral Fellow (4-CYTE Collaborativ

About the role

The Department of Biomedical Sciences is seeking individuals to join a group of neuroscientists addressing grand challenges in neuroscience, healthcare, and computing. Successful applicants will contribute by developing new AI/ML models to analyze large experimental and clinical datasets, simulate brain molecules, cells, and circuits, and deepen understanding of brain function. These efforts aim to accelerate therapeutic discovery and explore biological principles for advancing computation, including neuromorphic computing. Candidates will engage in cutting-edge research and technology creation at the intersection of neuroscience and AI, with opportunities for innovation and cross-disciplinary collaboration.

Responsibilities

• Develop AI/ML models for neuroscience and neuromorphic computing applications.
• Simulate brain molecules, cells, and circuits.
• Analyze diverse datasets including clinical, omics, and imaging data.
• Advance therapeutic discovery by applying AI to identify new treatments.
• Develop computational tools, including AI-powered neuroscience and educational tools.
• Collaborate across disciplines with neuroscientists, clinicians, and engineers.
• Publish research findings in journals and present at conferences.
• Mentor and train junior researchers and graduate students.

Requirements

• Strong knowledge of advanced machine learning, deep learning, and AI techniques.
• Proficiency in Python and frameworks such as TensorFlow or PyTorch.
• MS or higher degree (PhD preferred) in Computational Neuroscience, Computer Science, Bioinformatics, or a related field.
• Demonstrated ability to implement and optimize AI/ML models for biomedical datasets.

Preferred Qualifications

• Strong foundation in numerical modeling, graph theory, and statistics.
• Ability to design and optimize AI/ML models for neuroscience applications.
• Proven scientific writing and communication skills for publishing research and presenting findings.
• Basic knowledge of neuroscience.
• Experience working collaboratively in a research-oriented environment.
• Strong problem-solving and analytical skills.
• Passion for exploring new concepts in AI and neuroscience.
• Experience with hardware acceleration techniques.
• Familiarity with computational neuroscience tools and libraries.
• Experience working with large-scale clinical, omics, or imaging datasets.
• Experience collaborating as part of an interdisciplinary team.