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Assistant/Associate Professor in Dynamics and Deep Learning

Job description

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.

Your profile

  • 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.

Our offer

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.

Information and application

Please submit your application till Aug 15, 2021, and include:

  • Your Curriculum Vitae;
  • A list of publications;
  • A research and teaching statement;
  • Three names of potential references.

We would very much like to increase the number of women in the department and greatly value female applications.

The interviews will take place online and are currently scheduled for September 6. If you are not available on that day, please mention it in your application.

You are welcome to contact Prof. Dr. Christoph Brune (phone +31 534893384, email c.brune@utwente.nl) for any questions you might have.

About the organization

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

University of Twente (UT)

University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.

As an employer, University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions.

Assistant/Associate Professor in Dynamics and Deep Learning
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