HOW TO APPLY

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

NOTE: THIS POSITION IS A TWO-YEAR TERM-LIMITED APPOINTMENT.

The laboratories of Dr. Shyamal Mosalaganti and Dr. Herman Fung at the Life Sciences Institute (LSI) are looking for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support the identification of biomolecules in cryo-electron tomography (cryo-ET) image volumes and to support the registration of multimodal images for automated adaptive microscopy. You will join a vibrant, collaborative research hub and play a role in pushing technological boundaries in multimodal and 3D bioimage analysis. You will report directly to both Dr. Shyamal Mosalaganti and Dr. Herman Fung and will work a hybrid work schedule consisting of 3-4 days onsite and 1-2 days remote.

REQUIRED QUALIFICATIONS*

• Ph.D. in Computer Science, Engineering, Biology, or a related field with a focus on machine learning or computer vision
• Minimum 5 years in multimodal image analysis OR deep learning for image analysis

DESIRED QUALIFICATIONS*

• Minimum 2 years of experience developing semantic or instance segmentation workflows
• Minimum 2 years of experience deploying vision transformers and/or convolutional neural networks
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras

RESPONSIBILITIES*

Experimental responsibilities will include, but not be limited to:

• Develop and implement advanced AI/ML algorithms for image segmentation and registration
• Collaborate with diverse teams in the Mosalaganti and Fung labs to integrate the latest advancements into workflows
• Manage large-scale image datasets for optimal model performance, continuously optimizing and validating models for real-world applications.

Non-experimental responsibilities will include, but not be limited to:

• Effectively document and present latest advancements and technical concepts to the community
• Contribute to manuscript and grant proposal writing

In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:

• A retirement plan that provides two-for-one matching contributions
• Many choices for comprehensive health insurance
• Life insurance
• Vision, Dental and Legal Insurance
• Flexible spending accounts for healthcare and dependent care expenses
• Family leave options including maternity and parental leav