Summary
The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking a highly motivated Postdoctoral Research Associate to join an interdisciplinary project combining computational biology, bioimage informatics, and parallel computing systems. The role focuses on designing foundation model architectures informed by cryogenic scanning transmission electron (cryoSTEM) microscopy and building parallel systems to scale their training across large GPU clusters.
Postdoctoral Researcher: CryoSTEM Foundation Models, (MBZUAI) UAE
Designation
Postdoctoral Research Associate / Postdoctoral Researcher
Key Overview
| Field | Details |
| Institution | Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) |
| Division | Computing and Mathematical Sciences Division |
| Location | Abu Dhabi, United Arab Emirates (UAE) |
| Open Date | July 14, 2026 |
| Last Date to Apply | Not specified (Open until filled / Continuous recruitment) |
| Faculty Mentors | Dr. Min Xu (Computational Biology/Vision) & Dr. Qirong Ho (Distributed ML/Systems) |
Research Area
- Computational Biology & Bioimage Informatics
- Machine Learning & Foundation Models
- Distributed / Parallel Machine Learning Systems
- CryoSTEM & 4D-STEM Microscopy Analysis
Location
- Abu Dhabi, UAE
Eligibility & Qualifications
- Education: PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or a closely related field.
- Research Record: Strong, established track record of publications in computational microscopy, computer vision, or parallel machine learning.
- Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data.
- Adaptability: Demonstrated strong willingness to learn and bridge the gap into complementary domains required by the project.
- Communication: Excellent analytical, oral, and written communication skills.
Job Description & Key Responsibilities
- Understand CryoSTEM Microscopy: Develop a deep understanding of the physics and operation of state-of-the-art cryoSTEM microscopes.
- Design Foundation Models: Create new model architectures tailored to cryoSTEM data pipelines to enhance microscope operation when applied to biological samples.
- Parallel Model Training: Deploy parallel computing systems capable of training large foundation models across GPU clusters on multi-terabyte datasets.
- Project Leadership & Mentorship: Manage complex research sub-projects, meet research milestones, and mentor graduate students and junior researchers.
- Academic Output: Author high-impact publications and deliver key research outcomes to the scientific community.
How to Apply
Applicants must submit their application via Interfolio:
- Comprehensive CV including a complete publication list.
- Research Proposal based on the following publication:Shadow montage and cone-beam reconstruction in 4D-STEM tomography. Microscopy and Microanalysis (2026).
- References: Contact details for three professional referees (referees will be contacted directly via Interfolio to upload recommendation letters).
Last Date to Apply
- Open Now
