- HOURS PER WEEK- 30 to 40
- FACULTY- Faculty of Science
- DEPARTMENT- Department of Information and Computing Sciences
- APPLICATION DEADLINE- 30 October 2023
The Department of Information and Computing Sciences (ICS) is nationally and internationally renowned for its fundamental and applied research in computer science and information science. In our constantly changing (digital) society, we are continually looking for new, realistic ways to push the boundaries of both science and societal application. We contribute to innovative information technologies through the development and application of new concepts, theories, algorithms, and software methods. With our expertise we nourish a wide range of interdisciplinary and societal collaboration initiatives.
The Department has grown significantly in the past years. Due to this growth and the upcoming retirement of some of our professors we envisage to have appointed multiple new full professors by the end of 2024. We have already been able to fill five of these positions. For now, we are looking for a Full Professor in Machine Learning Fundamentals to work within the Artificial Intelligence & Data Science division. You will take over the position of the current retiring head of the Algorithmic Data Analysis group. You will further shape and lead the group within the department, the university, and society in general.
As a Full Professor you are a committed, internationally acknowledged, and leading scientist in Machine Learning. Your ambition is to lead the further development of research in Machine Learning and Algorithmic Data Analysis and the quality of education, both in teaching and curriculum development. Additionally, you strive for societal impact in the field of information and computing sciences. You seek internal and external (interdisciplinary) collaboration and acquire funding for research, developing new research collaborations and new application areas. You are an inspiring educator with enthusiasm for teaching.
Alongside taking a leading role in Machine Learning Fundamentals, you also play an important role in creating a workplace that is supportive, socially safe, and inclusive, further enhancing scientific integrity and working together towards open science. You have a clear view on how to achieve this as a leading staff member.
This position is within the Artificial Intelligence & Data Science division. This division encompasses several research groups including Intelligent Systems, AI Technology for Life, Data Intensive Systems, Algorithmic Data Analysis, Responsible AI, and Natural Language Processing. Utrecht University takes a leading role in offering a range of comprehensive teaching programmes. These include a multidisciplinary research Master’s in Artificial Intelligence, a research Master in Data Science, a 1-year Master in Applied Data Science and a Bachelor in Artificial Intelligence. The division collaborates closely with the public sector and companies, either directly or through our various AI Labs such as the National Police Lab AI and the AI & Mobility Lab. Furthermore it works closely with other disciplines through the University’s focus areas Human Centered AI and Applied Data Science.
The Department of Information and Computing Sciences provides a dynamic, informal and international work environment. Our approach is characterized by a connected, open, and can-do spirit that stimulates personal initiative and curiosity. You are a team player who encourages taking ownership and create value while sharing your knowledge both internally and across the wider (global) community.
If you are excited to actively participate and collaborate in shaping our developing department, we invite you to apply.
We are looking for new colleagues to complement our team at an academic as well as a personal level. You fit well with the position’s profile as described above and meet the following qualifications:
- a PhD in Computer Science, Information Science or another relevant discipline;
- a strong research line and high impact publication track record in Machine Learning, Data Mining, Pattern recognition, Probabilistic Models, or other closely related discipline.
- an active player in international scientific communities;
- experience in and a personal view on how to lead a group of scientists and create and sustain a supportive, collaborative and inclusive work environment;
- demonstrated ability to acquire external funding for research and innovation;
- eager to explore and forge new collaborations in- and outside academia;
- enthusiasm for education and experience with student supervision, ability to teach in BSc and MSc programmes;
- experience in and aspiration for further development of courses and programmes.
- an appointment as Full Professor, which will be subject to evaluation after five years;
- a full-time gross salary ranging from €6,099 to €8,881 in scale H2 at Full Professor level;
- benefits including an 8% holiday bonus and an 8.3% end-of-year bonus;
- a pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement (cao) Dutch Universities;
- a starting package that is negotiable and depends on what is necessary to give you a running start in the department;
- assistance in finding housing and, if applicable, help with finding employment for a partner and schools for children.
In addition, Utrecht University offers excellent secondary conditions, including an attractive retirement scheme, professional development , (partly paid) parental leave, sports and flexible employment conditions (multiple choice model). This is how we encourage you to grow.
For more information, please visit working at Utrecht University.
About the organisation
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow.
At the Faculty of Science, there are 6 departments to make a fundamental connection with: Biology, Chemistry, Information and Computing Sciences, Mathematics, Pharmaceutical Sciences, and Physics. Each of these is made up of distinct institutes that work together to focus on answering some of humanity’s most pressing problems. More fundamental still are the individual research groups – the building blocks of our ambitious scientific projects. Find out more about us by watching Working at the Faculty of Science.
The Department of Information and Computing Sciences is nationally and internationally known for its research in computer science and information science. The Department provides and contributes to the undergraduate programmes in Computer Science, Information Science, and Artificial Intelligence and a number of research Master’s programmes in these fields. It employs over 200 people in four divisions: Interaction, Algorithms, Data Science & Artificial Intelligence, and Software Systems. The atmosphere is collegial and informal.
If you have specific questions regarding the positions or the department, please email them to Professor Marc van Kreveld (Head of Department) at m.j.vanKreveld@uu.nl or Professor Judith Masthoff (Director of Research) at firstname.lastname@example.org.
If you are interested in reading more about the development of our department, we can provide you with a copy of our summarized organizational development plan. You can send your request to email@example.com.
Do you have a question about the application procedure? Please send an email to firstname.lastname@example.org.
Everyone deserves to feel at home at our university. We welcome employees with a wide variety of backgrounds and perspectives.
If you have the expertise and the experience to excel in this role, then simply respond via the “Apply now” button! It is important that when you apply, you make clear where and how you see that your expertise fits the overall research and education portfolio of the department, including the relationship with (future) external stakeholders.
- a motivation letter;
- a full academic curriculum vitae, including the list of your publications;
- your vision on research (at most 2 pages)
- your vision on education (at most 2 pages)
If this specific opportunity isn’t for you, but you know others who may be interested, please forward this vacancy to them.
*Note to recruitment agencies: Please refrain from contacting us regarding this job posting.
The application deadline is 30 October 2023.