PhD: Probabilistic Turbulence Modeling & Data Assimilation

Karlstad University; Amsterdam; On-site; EUR 34,763 - 44,517; Full time

Benefits offered by this job

Holiday allowance of 8%

Year-end bonus of 8.33%

Flexible scheduling

Housing assistance for expat employees

Job summary

Karlstad University is looking for a PhD student (m/f/x) focused on probabilistic turbulence models at Centrum Wiskunde & Informatica. The position offers the opportunity to work on cutting-edge research in computational fluid dynamics, supervised by Dr. B. Sanderse. You will also collaborate with Eindhoven University of Technology to earn your PhD.

The initial contract lasts for 18 months with an attractive salary package, including holiday allowances and a year-end bonus. Qualifications include a completed MSc degree and strong expertise in relevant fields.

Qualifications

• Completed MSc in applied mathematics, physics or a related discipline.
• Strong expertise in numerical analysis, stochastic methods, generative machine learning, computational fluid dynamics or data assimilation.
• Excellent programming skills (e.g., Python, Julia).
• Proven research talent, good academic writing and presentation skills.
• Team player, fully committed to working with other team members of SYMBIOSIS.
• Excellent command of English.

Skills

Numerical analysis

Stochastic methods

Generative machine learning

Computational fluid dynamics

Data assimilation

Programming skills in Python

Programming skills in Julia

Education

Completed MSc in applied mathematics, physics or related discipline

Job description

Karlstad University is looking for a PhD student (m/f/x) focused on probabilistic turbulence models at Centrum Wiskunde & Informatica. The position offers the opportunity to work on cutting-edge research in computational fluid dynamics, supervised by Dr. B. Sanderse. You will also collaborate with Eindhoven University of Technology to earn your PhD.

The initial contract lasts for 18 months with an attractive salary package, including holiday allowances and a year-end bonus. Qualifications include a completed MSc degree and strong expertise in relevant fields.