Requisition Number:
63583
Location:
Boulder, Colorado
City
Boulder
State
Colorado
Employment Type:
Research Faculty
Schedule:
Part-Time
Posting Close Date:
24-Apr-2025
Date Posted:
21-Apr-2025

JOB SUMMARY

A computational research position is available in the Kasinath Lab Research Group in the Department of Biochemistry at University of Colorado Boulder.
Deep Learning for Microscopic Image Analysis. The Vignesh Kasinath Lab is seeking a research student to contribute to cutting-edge research in deep learning and medical computer vision. This internship offers a unique opportunity to work on foundational models for microscopic image analysis, focusing on electron tomography imaging data. The intern will assist in developing large foundational vision models, optimizing training pipelines, and building cloud-based infrastructure to support model training and deployment.
This internship is ideal for graduate students, advanced undergraduates looking to gain hands-on experience in deep learning for medical imaging. The research position can be extended to include Fall 2025 and Spring 2026 depending on performance and interest.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

WHO WE ARE

Since 1986, Biochemistry at the University of Colorado at Boulder has offered a world-class interdisciplinary research environment in a beautiful mountain setting. Faculty include a Nobel Laureate, five members of the National Academy of Sciences, three Howard Hughes Investigators, and many other esteemed scientists who have established themselves as research leaders within biochemistry.

WHAT YOU SHOULD KNOW

• Start Date: 05/12/2025
• End Date: 08/20/2025

• Develop and optimize transformer-based models for computer vision applications.
• Manage and utilize HPC clusters for training large foundational models.
• Perform scripting and data analysis for electron tomography imaging.
• Contribute to the iterative optimization of deep learning frameworks for medical imaging tasks.