Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models

Mohamed bin Zayed University of Artificial Intelligence; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

Comprehensive health & life insurance

Relocation support for international-h

Live in Abu Dhabi

Job summary

MBZUAI seeks a highly motivated Postdoctoral Research Associate to join an interdisciplinary project on cryoSTEM foundation models. You will understand cryoSTEM physics, design novel model architectures, and implement parallel systems for training across multi-GPU clusters on multi-terabyte datasets.

The role includes mentoring graduate students, leading sub-projects, and publishing high-impact findings to advance computational biology and machine learning.

Qualifications

• PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging or related field.
• Strong publication record in computational microscopy, computer vision or parallel ML.
• Adaptability to bridge computational microscopy, computer vision or parallel ML.
• Experience with biomedical imaging, especially electron microscopy data, is highly preferred.
• Excellent analytical, oral, and written communication skills.

Responsibilities

• Understand CryoSTEM microscopy physics and operation.
• Design foundation models for cryoSTEM data and data pipelines.
• Deploy parallel computing systems for training large-scale cryoSTEM models.
• Lead complex research sub-projects and meet milestones.
• Mentor graduate students and junior researchers.
• Publish high-impact scholarly articles and share findings.

Skills

CryoSTEM microscopy

Parallel ML

Distributed systems

Computer vision

Biomedical imaging

Education

PhD in CS/EE/AI/Biomedical imaging

Tools

PyTorch

TensorFlow

CUDA

Job description

Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models

Mohamed bin Zayed University of Artificial Intelligence

Location: Abu Dhabi, UAE

Open Date: Jul 14, 2026

Description

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking a highly motivated Postdoctoral Research Associate to join a cutting-edge interdisciplinary project. In this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab.

• Dr. Min Xu – Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics, and structural biology. His core scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET).
• Dr. Qirong Ho – Assistant Professor of Machine Learning and Computer Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models efficiently over distributed GPU environments.

Key Responsibilities

• Understand CryoSTEM Microscopy: Become deeply familiar with the physics and operation of state-of-the-art cryoSTEM microscopes.
• Design Foundation Models: Create new model architectures for cryoSTEM data, which will be informed by the strengths and limitations of cryoSTEM microscopes and their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples.
• Parallel Model Training: Deploy parallel computing systems for training large-scale cryoSTEM foundation models.
• Project Leadership: Manage complex research sub-projects and ensure research milestones are met.
• Mentorship: Guide and mentor graduate students and junior researchers within the lab.
• Academic Output: Author high-impact publications and produce other key deliverables to share findings with the broader scientific community.

Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors.

The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Exceptional Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international hires
  • Live in Abu Dhabi: World's safest city, year-round sunshine, rich culture, and modern amenities
  • Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

This position requires a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or a closely related field.

• Research Record: A strong, established track record of publications in computational microscopy, computer vision, or parallel machine learning
• Adaptability: A demonstrated, strong willingness to learn and bridge the gap into complementary domains required by this project (computational microscopy, computer vision or parallel ML).
• Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data.
• Communication: Excellent analytical, oral, and written communication skills.