QuantLase Lab is a leading research and development center focused on advancing photonic and computational technologies to address complex challenges in physics, AI, and engineering. As part of one of the UAE’s largest corporate houses, the lab specializes in photonic processors, coupled oscillator networks, and AI-based optimization techniques. The organization fosters innovation at the intersection of physics, computation, and advanced machine learning.

Job Summary:
QuantLase Lab is hiring a Senior Computational Scientist to join its pioneering team in Abu Dhabi. This full-time, on-site role involves designing and developing advanced computational models, simulations, and algorithms to enable photonic-based solutions for complex decision-making, optimization, and AI tasks. The position offers a collaborative and intellectually stimulating research environment with access to cutting-edge tools.

Key Responsibilities:

• Design and implement computational algorithms for modeling physical systems, particularly photonic processors.

• Enhance predictive modeling for complex systems using coupled oscillator networks.

• Maintain and improve high-performance simulation platforms focused on photonics and neuronal dynamics.

• Work across all product development stages—from problem analysis to deployment.

• Collaborate with cross-functional teams to align computational work with research objectives.

Required Candidate Strengths:

• Education: Bachelor’s, Master’s, or Ph.D. in Physics, Computer Science, IT, or related disciplines.

• Programming Skills: Proficiency in C++, Python, MATLAB; experience with production-level C++ code.

• Technical Expertise: Solid background in computational physics, numerical solvers, and electrodynamic simulations.

• AI/ML: Understanding of GPU-based computation, AI optimization, and matrix operations.

• Software Development: Experience in cross-platform scientific software, UI development, and performance tuning.

• Problem Solving: Strong skills in algorithm design, numerical methods, and HPC techniques.

• Communication: Fluent in English (written and spoken) with strong collaborative skills.

Preferred Qualifications:

• Experience with HPC systems, Linux, and job schedulers like Slurm.

• Familiarity with the MOOSE simulation environment.

• Prior work in machine learning or AI for scientific computing.

• Knowledge of modeling RF/microwave-driven plasma systems.

• Experience supervising researchers, mentoring staff, and writing grant proposals.

• A strong academic publication record, including first-author papers.

What We Offer:

• Opportunity to contribute to revolutionary research in photonic and computational sciences.

• Access to state-of-the-art research tools and facilities.

• A collaborative and forward-thinking work culture.

• Competitive salary and comprehensive benefits.

Application Process:
Interested candidates should submit their CV, cover letter, and list of publications to salman.abdullah@quantlase.ae. Applications are reviewed on a rolling basis.