M

Research Engineer – Procedural Geometry & Computational Modeling

MBZUAI

Posted 1 day ago

Employment Type

Full Time

Location

Dubai

Requirements

Master's degree, PhD preferred, Computational geometry, Mesh processing, Procedural modeling, Simulation, Python, C++, Rust, Node.js, Geometric data structures, Topology, Polygonal mesh generation, Debugging, Algorithmic problem-solving, Git, Collaborative development

Required Skills

Computational Geometry Procedural Modeling Mesh Processing AI Visualization Research Algorithm Design Reproducible Research Python C++ Rust Node.js Geometric Data Structures Topology Polygonal Mesh Generation Debugging Algorithmic Problem-Solving Git Collaborative Development

Job Description

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.

Requirements

  • Master’s degree in Computer Science, Computational Geometry, Computer Graphics, or a related field.
  • A PhD in a relevant discipline will be preferred.

Preferred Qualifications

  • 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.
  • 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.

About the Company

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.

How to Apply

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