Artificial Intelligence Work Field Committee

The work field committee monitors and improves the connection between the AI programmes and the knowledge and skills required for a related job after graduation.

It is an advisory board supporting the AI education on the Bachelor and Master levels at the Radboud University. By inviting members with diverse backgrounds to the work field committee, we strive to implement a representation from all areas in which value is created and impact is made by our graduates – be it social, commercial, cultural or otherwise.

Radboud’s AI programmes prepare students for both an academic career and careers outside academia in the work field. The committee members regularly contribute their own work field experience by helping to identify AI and non-AI related hard- and soft skills which are beneficial for our students in order to be successful in the work field and by giving advice on how students could be prepared within our AI educational programs. Thus the work field committee provides valuable input, which ranges from the strategic development of our AI educational programmes down to details of the course curriculums. The committee’s recommendations are brought forward to course coordinators, program committees and to the head of the educational program. Feedback on how their advice has led to changes in the program is provided to the committee members.

The external members of the AI Work Field Committee 2022

Anne-Marie BrouwerAnne-Marie Brouwer is Senior Scientist at TNO. TNO is an independent research organisation. Its mission is to connect people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way. Anne-Marie works at the department Human Performance on mental state monitoring (using physiological signals and implicit behavior to obtain information about states such as attention and affect). This work is done in contexts ranging from probing food experience for food industry, monitoring attention for educational purposes and evaluating effects of sleep deprivation for the safety and security domain. Anne-Marie has strong connections with academia through collaborations and supervision of PhD- and master students

Jason FarquharJason Farquhar has a background in signal processing and a PhD in machine learning.  He spent 15yr as an academic at the Donders Institute in Nijmegen researching how to make EEG based Brain Computer Interfaces more performant, before leaving to lead the technical development at Mindaffect -- as successful neurotech spinout.   Jason is now a Research Scientist in Meta's neural-interfaces group, working to bring neural interfaces to consumers and fundamentally change how we interact with technology.

Mariana Goldak-AltgassenMariana Goldak-Altgassen works at Vanderlande as Technology Owner AI / Algorithms within the Innovate department. In this position, she is responsible for defining the AI technology roadmap, coordinating activities with academia, supporting the development organization with the transition of technology when it becomes more mature, and ensuring new technology is anchored in the entire organization.

Investing in AI knowledge and skills of students coming from universities and schools is very important. We should address it at a fundamental level, making sure that young professionals learn relevant things, to be fit for the future.”

Arnaud Hubaux is a product cluster manager atArnaud Hubaux ASML. He works closely with chip manufacturers on new generations of AI solutions that improve production yield, equipment uptime, and service costs. With a PhD in Software Engineering on applied constraint solving, Arnaud has deep experience in software platform architecture, product lifecycle management, and AI application development.

Lucas NoldusLucas Noldus is the founder and CEO of Noldus Information Technology, which develops and markets AI-based software and integrated systems for the measurement of behavior, health and wellbeing of humans and animals. These tools are used by universities, research institutes and companies worldwide to support basic and applied research in a broad range of economic sectors including agriculture, animal husbandry, ICT, pharmaceuticals, food & beverages, transportation, banking & insurance, and professional services. Lucas Noldus also holds a chair as professor by special appointment in the Department of Biophysics of Radboud University.

Gregor PavlinDr. Gregor Pavlin is a Senior Scientist and Program Manager at Thales Research and Technology in Delft, the Netherlands. He manages a team of scientists and engineers focusing on the exploitation of advanced AI concepts in situational awareness, cyber security, system diagnostics and IoT.  The emphasis is on theoretically and technically sound methods enabling efficient implementation and maintenance of trusted real world solutions that can cope with the inherent complexities of the applications and imperfections of the used data.

Marco PutsAs an cognitive science alumnus of the Radboud University, Marco Puts is very interested in the Artificial Intelligence program of the Radboud University. Marco works as a research scientist at Statistic Netherlands (CBS). Statistics Netherlands provides the official statistics in the Netherlands. The societal impact of official statistics is very high, and with the growing interest in data science, the need for more rigorous methodology concerning artificial intelligence and in particular machine learning, is needed to provide statistics that meet our high quality standards. Marco’s research is about these high quality demands concerning the official statistics and tries to work towards a methodology in artificial intelligence.