Senior Computational Scientist - Simulation & 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

About the Role

Our client is seeking a highly skilled Senior Computational Scientist to enhance their research and development capabilities in Sandton. This hybrid role allows for a dynamic work environment, balancing remote analytical work with collaborative in-office sessions. You will focus on developing and applying advanced simulation and modeling techniques to tackle complex scientific and engineering challenges across various domains. This is an exciting opportunity to leverage your expertise in computational methods to drive innovation, contribute to high-impact projects and work alongside a team of leading experts in a stimulating, research-focused setting.

Key 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.

Requirements

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

Benefits

• Highly competitive salary and bonus structure.
• Hybrid work model offering excellent work-life balance and flexibility.
• Comprehensive medical, dental, and vision benefits.
• Support for ongoing professional development and conference participation.
• Opportunity to work on challenging and impactful scientific problems.