PhD position in Numerical Mathematics to develop reduced models on manifolds while preserving the structure of the given equation
We are looking for a highly motivated and research driven PhD candidate to work on Model Reduction on Manifolds.
This topic is centered around —but not limited to— developing methods to perform model reduction of dynamical systems, both concerning analysis and application.
The aim is to develop reduced models on manifolds while possibly preserving the structure of the given high-dimensional equation, which can be, e.g., Hamiltonian or port-Hamiltonian. For the explicit construction of the reduced model, recent methods utilizing machine learning techniques will be reviewed and further methods will be developed/newly created. So this project lies in the interface between analysis, numerical analysis and machine learning.
The position will be supervised by Dr. Silke Glas and will be part of the MaST group headed by prof. Hans Zwart within the Department of Applied Mathematics.
YOUR PROFILE
- You are a highly motivated mathematics scholar with a strong background and interest in (numerical) mathematics, and enthusiastic about machine learning methods;
- You are curious about mathematical challenges in the described fields;
- You are interested in coding/programming or already have some prior experience;
- You have, or will shortly acquire, an MSc degree in mathematics;
- You are proficient in English.
OUR OFFER
- As a PhD student at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
- The University offers a dynamic ecosystem with enthusiastic colleagues;
- Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
- You will receive a gross monthly salary ranging from € 2.443,- (first year) to € 3.122,- (fourth year);
- There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
- A family-friendly institution that offers parental leave (both paid and unpaid);
- You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
- We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.
INFORMATION AND APPLICATION
Are you interested in this position? Please submit your application until April 15 via the ‘Apply now’ button below and include:
- A motivation letter, emphasizing your specific interest and motivation to apply for a PhD position in this research area.
- A detailed Curriculum Vitae.
- An academic transcript of BSc and MSc education, including grades.
- A short description of your MSc thesis/final project.
- References (contact information) of two scientific staff members (one of whom should be the supervisor of your MSc thesis/final project) who are willing to provide a recommendation letter at our request.
We particularly encourage/support female applicants to apply.
If you have any questions about this position, please contact Dr. Silke Glas (s.m.glas@utwente.nl)