Computational Scientist Intern

Seeking a motivated developer with expertise in numerical methods, who can work independently and demonstrates resourcefulness. Proactive candidates with prior experience in reading scientific computing literature are preferred. Responsibilities include implementing various algorithms in our Computational Fluid Dynamics software, encompassing new turbulence models and remeshing techniques.

Responsibilities:

• Develop and optimize code for our Computational Fluid Dynamics (CFD) software using programming languages such as C and Python.
• Contribute to the development of an adaptive mesh refinement strategy for our simulations.
• Work collaboratively with our team of engineers and scientists to troubleshoot technical issues in our software.
• Maintain up-to-date knowledge of new advances in CFD methods.
• Provide support to the team in the form of code reviews and technical guidance.
• Develop technical documentation for new and existing features.
• Present complex research findings to both technical and non-technical audiences.
  
  

Requirements:

• Strong academic background in numerical mathematics, computational engineering, computational physics or equivalent education.
• Experience with programming languages such as C and Python.
• Comfortable with standard software development practices: version control, continuous integration, code review, etc.
• Familiarity with numerical methods and their implementation.
• Excellent written and oral communication skills.
• Fluent in English
• Experience with open source finite element software such as FEniCS, firedrake, deal.ii, mfem, ngsolve or gridap.
• Experience collaborating on open source projects.
• Strong problem-solving skills and attention to detail.
• Capable of organizing own work with minimal supervision.
  
  

What we offer:

• Start date: Immediately
• Contract: Paid Internship 6 months
• Activity rate: 100%
• Salary: 2,500 CHF gross per month
• Location: On-site in Lausanne