Associate / Full Professor of Theoretical Biophysics and Machine Learning (0.8 - 1.0 FTE)
Associate / Full Professor of Theoretical Biophysics and Machine Learning
Employment: 0.8 - 1.0 FTE
Gross monthly salary: € 5,864 - € 8,539
Faculty of Science
Required background: PhD
Application deadline: 25 February 2022
A world from which we demand more and more requires people who can make a contribution. Critical thinkers who will take a closer look at what is really important. As a Professor, you will perform leading research and teach students in the area of theoretical biophysics and physics-based machine learning, to strengthen the role and visibility of the international Theoretical Biophysics landscape.
As a successful candidate you will join the Department of Biophysics at the Donders Center for Neuroscience (DCN) and perform internationally leading theoretical research in an area of theoretical biophysics or physics-based machine learning. You are interested in applications of theoretical biophysics methods to neuroscience problems studied in the DCN, and you will engage actively in interdisciplinary research collaborations with other physicists in the Faculty of Science and with external partners. You will contribute to the teaching and the innovation of Radboud's popular theoretical machine learning and biophysics courses, and possibly contribute to other core undergraduate physics subjects taught at the Faculty of Science. You will supervise students' research projects at the Bachelor's, Master's and PhD levels. Finally, you will contribute to the effective administration of Radboud University and the acquisition of research funding, and will strengthen the role and visibility of Radboud University in the international Theoretical Biophysics landscape.
You hold a PhD degree in theoretical physics or applied mathematics.
You have a strong international research reputation in an area of theoretical biophysics or physics-based machine learning, as evidenced by your track record of publications and the acquisition of research grants.
You have a genuine affinity for academic teaching in physics, and the ability to design undergraduate and postgraduate programmes as well as integrate research effectively into courses and projects.
You have at least five years of academic teaching experience following your PhD.
You have obtained a University Teaching Qualification or equivalent (or are committed to securing this qualification as soon as possible upon appointment).
You combine being a team player with strong leadership and administrative skills, specifically in terms of inspiring young scientists and in providing a research team with a clear sense of direction and purpose.
You have excellent communication skills, both verbally and in writing.
The Donders Institute for Brain, Cognition and Behaviour of Radboud University seeks to appoint a Professor of Theoretical Biophysics and Machine Learning. The Donders Institute is a world-class research institute, housing more than 700 researchers devoted to understanding the mechanistic underpinnings of the human mind/brain. Research at the Donders Institute focuses on four themes:
Language and Communication
Perception, Action, and Decision-making
Development and Lifelong Plasticity
Natural Computing and Neurotechnology.
We have excellent and state-of-the-art research facilities available for a broad range of neuroscience research. The Donders Institute fosters a collaborative, multidisciplinary, supportive research environment with a diverse international staff. English is the lingua franca at the Institute.
You will join the academic staff of the Donders Center for Neuroscience (DCN) - one of the four Donders Centers at Radboud University's Faculty of Science. The Biophysics Department is part of the DCN. Neurophysicists at DCN mainly conduct experimental, theoretical and computational research into the principles of information processing by the brain, with particular focus on the mammalian auditory and visual systems. The Physics of Machine Learning and Complex Systems Group studies a broad range of theoretical topics, ranging from physics-based machine learning paradigms and quantum machine learning, via Bayesian inference and applications of statistical mechanics techniques in medical statistics, to network theory and the modelling of heterogeneous many-variable processes in physics and biology. The group engages in multiple national and international research collaborations, and participates in several multidisciplinary initiatives that support theoretical biophysics and machine learning research and teaching at Radboud University.
Radboud University actively supports equality, diversity and inclusion, and encourages applications from all sections of society. The university offers customised facilities to better align work and private life. Parents are entitled to partly paid parental leave and Radboud University employees enjoy flexibility in the way they structure their work. The university highly values the career development of its staff, which is facilitated by a variety of programmes. The Faculty of Science is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities.
We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 24,000 students and 5,600 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play!
Employment for 0.8 - 1.0 FTE.
A maximum gross monthly salary of € 8,539 based on a 38-hour working week (salary scale H2). An appointment as an Associate Professor with the potential to further develop as a Full Professor is also possible. An Associate Professor will be employed as an Associate Professor level 2 (salary scale 13, maximum gross monthly salary of €6,444) or Associate Professor level 1 (salary scale 14, maximum gross monthly salary of €7,079), depending on your scientific track record and experience.
You will receive 8% holiday allowance and 8.3% end-of-year bonus.
It concerns a permanent employment.
You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen.
Working for us means getting extra days off. In case of full-time employment, you can choose between 29 or 41 days of annual leave instead of the legally allotted 20.
Additional employment conditions
Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.
Would you like more information?
For questions about the position, please contact Ton Coolen, Professor at +31 24 361 42 45 or firstname.lastname@example.org.
Practical information and applications
You can apply until 25 February 2022, exclusively using the button below. Kindly address your application to Ton Coolen. Please fill in the application form and attach the following documents:
A letter of motivation in which you also state whether you apply for the Associate or Full Professorship.
A publication list with a motivated selection of your top five research papers.
A statement of current and future research plans.
A statement on teaching experience, including academic research supervision.
The first round of interviews will take place around the end of March. You would preferably begin employment on 1 September 2022.
This vacancy was also published in a slightly modified form in 2021. Applicants who were rejected at that time are kindly requested not to apply again.
We can imagine you're curious about our application procedure. It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates.
We drafted this vacancy to find and hire our new colleague ourselves. Recruitment agencies are kindly requested to refrain from responding.