Postdoctoral Fellow (4-CYTE Collaborativ

Marquette University; Milwaukee (WI); On-site; USD 60,000 - 80,000; Full time

Job summary

Marquette University in Milwaukee seeks a Postdoctoral Fellow for the 4-CYTE Collaborative to develop AI/ML models, simulate brain systems, and analyze clinical datasets to advance neuroscience and neuromorphic computing.

The successful candidate will contribute across disciplines, publish results in journals and conferences, and mentor junior researchers and graduate students while collaborating with neuroscientists, clinicians, and engineers.

Qualifications

• Advanced AI/ML knowledge with healthcare applications.
• Experience implementing AI/ML models for biomedical datasets.
• Proven ability to publish research and collaborate across disciplines.

Responsibilities

• Create AI/ML models for neuroscience and neuromorphic computing.
• Simulate brain molecules, cells, and circuits.
• Analyze clinical, omics, and imaging data.
• Support therapeutics discovery using AI.
• Develop AI-powered neuroscience tools and educational tools.
• Collaborate with neuroscientists, clinicians, and engineers.
• Publish findings in journals and conferences.
• Mentor junior researchers and graduate students.

Skills

AI/ML Expertise

Python Programming

Deep Learning

Education

MS or PhD in Computational Neuroscience / CS / Bioinformatics

Tools

Python

TensorFlow

PyTorch

Job description

JOB REQUIREMENTS: Postdoctoral Fellow (4-CYTE Collaborative) Posting

Number: 201104851 | Employment Status: Full Time | Job Family: Faculty

Position Overview

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.

Duties and Responsibilities

• 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.

Department: Biomedical Sciences

Required Knowledge, Skills And Abilities

• AI/ML Expertise: Strong knowledge of advanced machine Learning, Deep Learning, And AI Techniques.
• Programming Skills: Proficiency in Python, TensorFlow, 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.

Preferred Knowledge, Skills And Abilities

• 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.

Other Information

Posting Date: 08/19/2026

Closing Date:

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.

Qualified females, minorities, and special disabled veterans and other veterans are encouraged to apply.