Postdoc: CryoSTEM Foundation Models & Parallel ML

Karlstad University; Abu Dhabi; On-site; AED 440,690 - 697,759; Full time

Benefits offered by this job

Competitive salary

Relocation support

Health insurance

Job summary

MBZUAI invites applications for a Postdoctoral Research Associate in the Computing and Mathematical Sciences Division to advance cryoSTEM foundation models. You will design architectures for cryoSTEM data and lead parallel training across large GPU clusters, contributing to biomedical imaging and machine learning research.

Collaborating with renowned researchers, you will publish in top venues, mentor students, and help drive high-impact outcomes from the lab in Abu Dhabi.

Qualifications

• PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or related field.
• Publication record in computational microscopy, computer vision, or parallel ML.
• Willingness to learn and bridge gaps into related domains (computational microscopy, computer vision, parallel ML).
• Experience with biomedical imaging, especially electron microscopy (EM) data.
• 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 models.
• Lead complex research sub-projects and meet milestones.
• Mentor graduate students and junior researchers.
• Publish high-impact research findings and disseminate results.

Skills

PhD scope

Publications

Adaptability

Biomedical imaging

Communication

Education

PhD in Computer Science or related field

Job description

MBZUAI invites applications for a Postdoctoral Research Associate in the Computing and Mathematical Sciences Division to advance cryoSTEM foundation models. You will design architectures for cryoSTEM data and lead parallel training across large GPU clusters, contributing to biomedical imaging and machine learning research.

Collaborating with renowned researchers, you will publish in top venues, mentor students, and help drive high-impact outcomes from the lab in Abu Dhabi.