Senior Computational Scientist - Hybrid HPC & Modeling

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary & bonus

Hybrid work model

Medical, dental & vision

Job summary

Placements24 in Sandton is seeking a Senior Computational Scientist to advance R&D through advanced simulation and modeling. This hybrid role blends remote analytical work with in-person sessions and offers exposure to diverse scientific challenges across domains.

You will lead development and application of computational methods, collaborate with domain experts, and contribute to high-impact projects while benefiting from a supportive research environment and opportunities for conference

Qualifications

• PhD in a quantitative field such as Physics, Engineering, CS, or Applied Math.
• Minimum 5 years of experience in computational modeling, simulation, and data analysis.
• Proficiency in Python, C++, or Fortran and parallel computing environments.
• Strong background in numerical methods and scientific computing.
• Experience with high-performance computing (HPC) resources.
• Excellent analytical, problem-solving, and communication skills for hybrid collaboration.

Responsibilities

• Develop, implement, and validate complex computational models and simulations.
• Analyze large datasets generated from simulations and real-world experiments.
• Optimize computational algorithms and workflows for performance and efficiency.
• Collaborate with domain experts to define simulation requirements and interpret results.
• Contribute to the design of new research studies and technology development pathways.
• Prepare detailed technical reports, documentation, and present findings to stakeholders.

Skills

Python

C++

Fortran

Parallel computing

Numerical methods

Data analysis

Communication skills

Education

PhD in Physics/Engineering/CS/Applied Math

Tools

MPI

OpenMP

Job description

Placements24 in Sandton is seeking a Senior Computational Scientist to advance R&D through advanced simulation and modeling. This hybrid role blends remote analytical work with in-person sessions and offers exposure to diverse scientific challenges across domains.

You will lead development and application of computational methods, collaborate with domain experts, and contribute to high-impact projects while benefiting from a supportive research environment and opportunities for conference