Assistant Professor of Machine Learning at the Donders Centre for Cognition (0.8 - 1.0 FTE)

• Employment: 0.8 - 1.0 FTE
• Gross monthly salary: € 3,821 - € 5,230
• Faculty of Social Sciences
• Required background: PhD
• Application deadline: 30 June 2022

Are you a motivated researcher specialised in machine learning with an interest in natural computing and applications in sustainable technology? As assistant professor, you will help students develop their knowledge of AI and conduct research on machine learning. This way, you will contribute to the education of the new generation and to new insights in your field. You do all this in a collaborative and diverse environment, with excellent research facilities.

The AI Department of the Donders Centre for Cognition (DCC), embedded in the Donders Institute for Brain, Cognition and Behaviour, and the School of Artificial Intelligence at Radboud University are looking for an Assistant Professor of Machine Learning with an interest in natural computing and applications in sustainable technology. You will join the Artificial Cognitive Systems (ACS) PI group and interact closely with other machine learning researchers.

You will be expected to develop and conduct AI teaching at undergraduate and post-graduate levels, perform top-quality research in Machine Learning and establish an externally funded research programme, interact and collaborate with other researchers and specialists in academia and/or industry, and be an inspiring member of our staff with excellent communication skills.

The objective of the position is to develop state-of-the-art AI research of international standing and to contribute to teaching on machine learning-related topics in the educational programme. DCC and the Donders Institute provide excellent facilities such as computing facilities, a robot lab, a virtual reality lab, behavioural labs, and a technical support group. The AI Department is also one of the founding members of Radboud AI and the ELLIS Unit Nijmegen.

Profile

• You hold a PhD degree in artificial intelligence, applied physics, computer science or a related discipline.
• Preferably, you have some postdoctoral experience.
• You have an excellent track record in scientific research, as evidenced by publications in top-tier Machine Learning conferences and journals.
• You have a proven ability to provide inspiring teaching in English.
• You possess a Dutch university teaching qualification or are willing to obtain one.
• You have experience in the acquisition of external funding and have an entrepreneurial mindset.
• You are an enthusiastic academic and able to work in a team.

We are

The Donders Institute for Brain, Cognition and Behaviour is a world-class interfaculty research centre, that houses more than 700 researchers devoted to understanding the mechanistic underpinnings of the human mind. Research at the Donders Institute is focused around four themes: 1. Language and communication , 2. Perception, action and decision-making , 3. Development and lifelong plasticity , 4. Natural computing & neurotechnology . Excellent, state-of-the-art research facilities are available for the broad range of neuroscience research that is being conducted at the Donders Institute. The Donders Institute has been assessed by an international evaluation committee as 'excellent' and recognised as a 'very stimulating environment for top researchers, as well as for young talent'. The Donders Institute fosters a collaborative, multi-disciplinary, supportive research environment with a diverse international staff. English is the lingua franca at the Institute.

Radboud University
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!
We offer

• Employment for 0.8 - 1.0 FTE.
• The gross monthly salary amounts to a minimum of €3,821 and a maximum of €5,230 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 11 ). A development track and growth to salary scale 12 is possible. 
• You will receive 8% holiday allowance and 8.3% end-of-year bonus.
• It concerns a temporary employment for at most 1.5 years, which will be made permanent upon satisfactory performance.
• 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 Marcel van Gerven, Chair of the Division of Artificial Intelligence at +31 24 365 59 31 or [email protected] .

Practical information and applications
You can apply until 30 June 2022, exclusively using the button below. Kindly address your application to Marcel van Gerven. Please fill in the application form and attach the following documents:

• A letter of motivation.
• Your CV including the contact details of two references who may be contacted for further information.
• Two recent publications.

The first round of interviews will take place on Thursday 7 July. The second round of interviews will take place on Wednesday 13 July. You would preferably begin employment on 1 September 2022.
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