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.
