Are you a highly motivated researcher with an outstanding track record in Mathematics and its Applications in Science and Engineering?

We offer a position at the interface of Dynamics and Deep Learning in the Applied Analysis group of the SACS cluster within the Department of Applied Mathematics (AM) at the University of Twente (UT).

The challenge:
You will actively develop your mathematical profile and seek connections between fundamental mathematical theory of dynamical systems, nonlinear analysis and the rising area of deep learning for data-driven model discovery. Based on a long-standing expertise and tradition of dynamical systems theory at the UT, well embedded in the Dutch NDNS+ cluster, our department is looking for a mathematician with a proven expertise in the broad area of dynamical systems, nonlinear analysis or approximation theory for deep neural networks.

You show great passion in applying your novel methods to computational neuroscience, inverse problems in imaging or engineering applications driven by physics-informed machine learning for example within the multi-disciplinary research contexts at the UT, like the Digital Society Institute, the Technical Medical Centre or the MESA+ Institute for Nanotechnology. You will be involved in the teaching program of the Department of Applied Mathematics at the Bachelor and Master level, and transfer your specific expertise to the master program. The basic University Teaching Qualification will be acquired during the first three years.

• You have acquired a PhD degree and have a strong affinity with- and training in the mathematics of data science, inverse problems, numerical analysis and/or scientific computing;
• You are passionate about innovative research, illustrated by publications in international journals;
• Your core expertise and interest relate to one or more of the following areas: dynamical systems theory, numerical bifurcation analysis, approximation theory, deep learning theory, physics-informed machine learning, data science and mean field control, inverse problems and deep learning;
• You are ready to take up the challenge to acquire research grants, either via personal schemes, such as within the NWO Innovational Research Incentives Scheme (VENI/VIDI/VICI) and the European Research Council, or in collaboration with others;
• The position requires excellent communication skills, allowing efficient interaction with colleagues from other fields;
• You have experience with teaching, advising and inspiring students.

We offer a fulltime position for one year as Assistant or Associate Professor, depending on qualifications. Part-time (e.g. 32 hours) is negotiable. Near the end of this year, you will be subject to a job performance evaluation. If the result is positive and the circumstances of the organization remain the same, the contract will be converted into a permanent contract. Criteria for evaluation comprise a strong track record of publications, evaluation of teaching capacities and a demonstrated ability to acquire funding and to achieve an international network and reputation. The terms of employment are in accordance with the Dutch Collective Labour Agreement for Universities (CAO) and include:

• A starting salary from € 3.746 (scale 11) to € 6.940 (scale 14) gross per month, based on relevant background and experience;
• A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
• A minimum of 29 leave days in case of fulltime employment based on a formal workweek of 38 hours. A fulltime employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;
• We offer excellent professional and personal development programs and a secondary remuneration package including a travel allowance;
• A solid pension scheme.