Postdoctoral Fellow (4-CYTE Collaborative)

Marquette University Clg-Nurse

Northern (KY)

Hybrid

USD 52,000 - 76,000

Full time

5 days ago

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Job summary

Marquette University invites applications for a Postdoctoral Fellow (4-CYTE Collaborative) in the Department of Biomedical Sciences. The successful candidate will develop AI/ML models to analyze large biomedical datasets and simulate brain systems to advance neuroscience and neuromorphic computing research.

This limited-term appointment emphasizes interdisciplinary collaboration, publication, and mentoring of graduate students, with a projected end date of June 30, 2027.

Qualifications

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

Responsibilities

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.

Skills

AI/ML Expertise

Programming Skills

Python

TensorFlow

PyTorch

Education

MS or higher degree in Computational Neuroscience, Computer Science, Bioinformatics, or related field

Tools

Python

TensorFlow

PyTorch

Job description

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.

Position Title

Postdoctoral Fellow (4-CYTE Collaborative)

State

State WI

Employment Status

Full Time

Position Status

Limited Term

If Limited Term (End Date of Assignment, Project, or Grant)

06/30/2027

Position Type

Faculty

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

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.

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

Department

Biomedical Sciences

Posting Date

08/19/2026

EOE Statement

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.

Required Documents