Postdoctoral Researcher: Nuclear Medicine Imaging & AI

The University of Texas Southwestern Medical Center; Dallas (TX); Hybrid; USD 55,000 - 70,000; Full time

Benefits offered by this job

PPO medical plan — day one

Preventive care coverage

Paid Time Off — day one

TRS retirement benefits

Parental Leave

Wellness programs

Tuition Reimbursement

PSLF-qualified employer

Job summary

UT Southwestern Medical Center offers a postdoctoral training opportunity in the Department of Radiology to advance nuclear medicine imaging, radiopharmaceutical therapy, and dosimetry. The role involves Monte Carlo simulations, algorithm optimization for PET/SPECT, and deep-learning–driven image analysis.

The successful candidate will collaborate with multidisciplinary teams, contribute to high-quality research publications, and present findings at major conferences.

Qualifications

• PhD in Physics or Engineering is required.
• Demonstrated research in nuclear medicine including PET/SPECT hardware and software development.
• Experience with reconstruction algorithms and deep-learning methodologies.

Responsibilities

• Perform advanced Monte Carlo simulations to model radiation transport and image generation.
• Develop, evaluate and optimize image reconstruction methods for PET/SPECT to improve quantitative accuracy.
• Design and implement deep-learning-based frameworks for automated image analysis and biomarker extraction.
• Collaborate with physicists, engineers, oncologists, and clinicians to translate tools into research and clinical workflows.
• Disseminate findings at conferences and prepare high-impact peer-reviewed manuscripts.

Skills

Deep learning

Nuclear medicine

Image reconstruction

Monte Carlo simulations

Education

PhD in Physics or Engineering

Tools

PET hardware

SPECT hardware

Reconstruction software

Monte Carlo tools

Job description

UT Southwestern Medical Center offers a postdoctoral training opportunity in the Department of Radiology to advance nuclear medicine imaging, radiopharmaceutical therapy, and dosimetry. The role involves Monte Carlo simulations, algorithm optimization for PET/SPECT, and deep-learning–driven image analysis.

The successful candidate will collaborate with multidisciplinary teams, contribute to high-quality research publications, and present findings at major conferences.