Postdoctoral Fellow (4-CYTE Collaborative

Postdoctoral Fellow (4-CYTE Collaborative)

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.

Postdoctoral Fellow (4-CYTE Collaborative)

State WI

Full Time

Limited Term

06/30/2027

Faculty

Faculty

The Department of Biomedical Sciences is seeking individuals to join our group of neuroscientists seeking to solve grand challenges in neuroscience, healthcare, and computing. The successful applicants will contribute to this effort by creating new AI/ML models to analyze large experimental and clinical datasets, as well as simulate brain molecules, cells, and circuits, to deepen our understanding of brain function. These efforts aim to accelerate the discovery of novel therapeutics and uncover new ways to harness biological principles for advancing computation, including neuromorphic computing.

Successful candidates will contribute to cutting-edge research and technology creation at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their applications in healthcare.

• Develop AI/ML Models:
  Create models for neuroscience and neuromorphic computing.
• Simulate Brain Systems:
  Model brain molecules, cells, and circuits.
• Analyze Diverse Data:
  Work with clinical, omics, and imaging data.
• Advance Therapeutic Discovery:
  Apply AI to identify new treatments.
• Develop Computational Tools:
  Build AI-powered neuroscience and educational tools.
• Collaborate Across Disciplines:
  Work with neuroscientists, clinicians, and engineers.
• Publish Research Findings:
  Share results in journals and conferences.
• Mentor and Train:
  Guide junior researchers and graduate students.

• AI/ML Expertise:
  Strong knowledge of advanced machine learning, deep learning, and AI techniques.
• Programming
  
  Skills:
  
  Proficiency in Python, Tensor Flow, PyTorch, or similar frameworks.
• MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability to implement and optimize AI/ML models for biomedical datasets.

• Mathematical Modeling:
  Strong foundation in numerical modeling, graph theory, and statistics.
• Algorithm Development:
  Ability to design and optimize AI/ML models for neuroscience.
• Scientific Writing & Communication:
  Ability to publish research and present findings.
• Basic knowledge of neuroscience
• Ability to work 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 with large-scale clinical, omics, or imaging datasets.
• Interdisciplinary
  
  Collaboration:
  
  Experience working as a member of an interdisciplinary team

Biomedical Sciences

08/19/2026

It is the policy of Marquette University to provide equal employment opportunities ( EEO ) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other applicable federal or state-protected classification.

• Cover Letter/Letter of Application
• Curriculum Vitae

Optional Documents

Required fields are indicated with an asterisk (*).