Associate Professor In Generative AI

Are you motivated to advance the scientific foundations of Generative AI and contribute to the development of rigorous reliable and societally relevant AI systems Are you prepared to take a leading role in shaping research and education within a major academic department at the forefront of mathematics computer science data science and AI

The Department of Mathematics and Computer Science at Eindhoven University of Technology one of the largest and most researchintensive departments in the Netherlands invites applications for the position of Associate Professor in Generative AI. Embedded within the Data and Artificial Intelligence cluster you have the opportunity to contribute to advancing fundamental AI methodology strengthening international collaborations and supporting the departments mission to develop robust trustworthy and theoretically grounded AI systems with broad scientific and societal impact.

You will join the Department of Mathematics and Computer Science (M&CS) which is the largest department of the Eindhoven University of Technology (TU/e) and one of the largest departments in the Netherlands in the area of mathematics and computer science. M&CS has approximately 535 employees with more than 148 scientific staff (assistant associate and full professors) and more than 264 PhD Postdoc and EngD students. The department has research collaborations with the other departments at TU/e with many organizations in the Brainport region and with universities and companies in the Netherlands and abroad.

M&CS is organized in three different domains: mathematics computer science and data science. The position of associate professor on Generative AI will be part of the cluster Data and Artificial Intelligence. The Data and Artificial Intelligence (DAI) cluster studies foundations of AI for the present and the future. It is focused on the design of new AI methods and the development of AI algorithms and tools to expand the reach of AI and its generalization particular the DAI cluster studies foundational issues of robustness safety fairness trust reliability tractability scalability interpretability and explainability of AI.

Research within Generative AI

The field of Generative AI tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Generative AI goes beyond the typical predictive modeling and brings together supervised learning and unsupervised learning by utilizing the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions i.e. how events occur and in what order. Nowadays the distribution is parameterized using deep neural networks. There are two distinct traits of Generative AI. First the application of deep neural networks allows rich and flexible parameterization of distributions. Second the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning. Moreover probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions. As a result Generative AI aims for formulating deep generative models that could be used for defining generative processes synthesizing new data and quantifying uncertainty.

The Associate Professor in Generative AI is expected to drive research in Generative AI developing strong theoretical and practical results with clear societal impact. The position requires deep and broad insight into the research domain and a leading role in the field. This should be supported by a strong publication record and other forms of international recognition.

Your tasks involve:

• To stimulate research of the Data and Artificial Intelligence cluster to initiate new and strengthen existing research directions.
• To take responsibility in developing and executing top quality education in the Computer Science Data Science and AI programs of the department. A concrete opportunity is to develop and teach a stable Deep Learning course suitable for our master programs.
• To supervise BSc MSc PhD and EngD students.
• To initiate acquire and coordinate research projects in the context of external funding and to assist colleagues in such endeavors.
• To take a proactive role in strengthening the relations with international partners.
• To perform managerial and/or administrative tasks for the department the university or inter-university institutes.

• Motivated researcher with a PhD and track record in generative AI.
• Ability to conduct high quality academic research reflected in demonstratable outputs.
• Ability to teach demonstrated by experience in teaching. Informed vision on teaching and learning within your own discipline.
• Strong cooperation skills and ability to work in an interdisciplinary team.
• Effective communication and leadership skills including coaching and mentoring of students and staff leading a project or chairing a group.
• Excellent (written and verbal) proficiency in English.

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities scale 13 or 14 (min. 6764 max. 8992).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure on-campus childrens day care and sports facilities.
• Unlimited access to the modern oncampus TU/e Student Sports Center at an exceptionally affordable rate.
• Partially paid parental leave and an allowance for commuting working from home and internet costs.
• A Staff Immigration Team is available for international candidates as are a tax compensation scheme (the Expat Scheme) and partner career support.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven a worldleading tech region with more than 7000 hightech companies and strong R&D activity. Known for breakthroughs in AI photonics semiconductors and advanced manufacturing Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

Do you recognize yourself in this profile and would you like to know more
Please contact the hiring manager Prof. Dr. Mykola Pechenizkiy .

Visit our website for more information about the application process. You can also contact Annette van Kamp-Rustenburg Senior Recruiter .

Curious to hear more about what it is like as a professor at TU/e Please watch the video.

Are you inspired and would like to know more about working at TU/e Please visit our career page.

We invite you to submit a complete application. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

Please ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.