Research Engineer - Procedural Geometry & Computational Modeling

Job description

Application Open:

Full-Time

MBZUAI is seeking a Procedural Geometry & Computational

Modeling Research Engineer to support a Multiscale Biology

Visualization AI project. The role focuses on designing and

implementing algorithm-driven, deterministic geometry generators

for subcellular structures, enabling biologically plausible and

computationally efficient representations of cellular components.

...

The Research Engineer will develop parameterized, testable shape

synthesis pipelines that integrate upstream AI-generated biological

outputs and produce standardized geometry assets for downstream

visualization and rendering systems.

The position requires strong

expertise in computational geometry, structured algorithm design,

and reproducible research practices within a fast-paced,

interdisciplinary research environment.

Key Responsibilities

Procedural Geometry Modeling

• Design and implement procedural, algorithm-driven generators

for subcellular geometry.

• Develop deterministic, seed-controlled, parameterized shape

synthesis pipelines that are testable and reproducible.

• Create geometric representations for a broad set of cellular

structures (target scope includes approximately 35

organelles).

• Balance biological plausibility, computational efficiency, and

visual fidelity in geometry generation.

Pipeline Integration & Architecture

• Define schema- and configuration-driven interfaces to transform

upstream biological AI model outputs into standardized geometry

outputs.

• Prepare generated geometry for seamless integration into the

visualization and rendering stack.

• Ensure interoperability across modeling, rendering, and

AI-facing components.

Quality Assurance & Reproducibility

• Develop validation metrics and automated tests for topology

correctness, realism, reproducibility, and performance.

• Contribute to code quality, structured documentation, and

reproducible research practices.

• Maintain clear version control and collaborative development

workflows.

Collaboration & Research Contribution

• Collaborate closely with visualization engineers, AI

researchers, computational biologists, and modeling

specialists.

• Participate actively in technical design discussions and

solution development.

• Operate effectively in a fast-paced, agile research environment

with evolving requirements.

Academic Qualifications Required

• Master’s degree in Computer Science, Computational Geometry,

Computer Graphics, or a related field.

• A PhD in a relevant discipline will be preferred.

Professional Experience Required

Essential:

• Demonstrated experience in computational geometry, mesh

processing, procedural modeling, or simulation.

• Strong algorithmic skills with proficiency in Python

(experience in C++, Rust, or Node.js is advantageous).

• Solid understanding of geometric data structures, topology, and

polygonal mesh generation pipelines.

• Strong debugging skills and advanced algorithmic

problem-solving ability.

• Experience working in collaborative development environments

using tools such as Git and modern communication platforms.

Preferred:

• Experience with biological imaging, cellular morphology, or

structural biology data.

• Knowledge of geometry libraries and polygonal mesh optimization

for real-time or high-performance applications.

• Exposure to differentiable geometry or machine learning–guided

geometry workflows.

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