PhD in Numerical Analysis

Original title: PhD Position Numerical Analysis

• Strong Background: You hold a Master’s degree (MSc) in Applied Mathematics, Computational Science, Physics, Aerospace Engineering, or a closely related field. You have a solid foundation in numerical analysis, partial differential equations, and numerical linear algebra.
• Theoretical and Practical Balance: You enjoy developing and analyzing mathematical theory, but also have the skills and motivation to implement algorithms and test them in practice.
• Programming Skills: You are proficient in at least one scientific programming language (such as Python, Julia, C++, or MATLAB) and are motivated to work with parallel computing environments.
• Collaborative Communicator: You are able to communicate your ideas clearly and work effectively with a diverse set of researchers and stakeholders, both within mathematics and in application domains.
• Curious and Open-Minded: You are eager to explore connections between mathematics, physics, and computing, and motivated to learn new techniques.
• Internship Experience: An internship or collaboration in or outside academia is a plus, but not required.
• Inclusive Outlook: We welcome applications from researchers who will add to the diversity of our team, in the broad and intersectional sense of the word.
• Cover letter (max. 1 page) outlining your motivation for pursuing this PhD project, your relevant background, and why you are a good fit for this specific position. Please include concrete examples of relevant experience (e.g., from your MSc thesis, projects, or internships).
• Comprehensive Curriculum Vitae.
• Transcripts and Master’s degree/diploma (if already available).
• Copy of your Master’s thesis (or a comparable writing sample).
• You can apply online. We will not process applications sent by email and/or post.
• Please do not contact us for unsolicited services.