Requirements
The role requires a Master's degree in computer science, computational geometry, or computer graphics, with a PhD being preferred. Essential professional experience includes demonstrated expertise in computational geometry, mesh processing, procedural modeling, or simulation, along with strong algorithmic skills in Python and solid understanding of geometric data structures, topology, and mesh generation pipelines. Experience with collaborative development environments using Git is also required.
Description
Job description / Role
Job Type
Full Time
Job Location
Abu Dhabi, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Research & Development (R&D)
Company Industry
Software & Internet Services
Application open:
Full-time
MBZUAI is seeking a procedural geometry and 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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