Phd Position In Player-Centric Video Game Ai

Are you excited about the use of contemporary AI in video game play and development? Do you want to study novel, enhanced player experiences or integrate cutting-edge approaches to open new avenues in games? Then this PhD is for you!

The Multimedia group at Utrecht University offers a four-year PhD position in Player-Centric Video Game AI. In contrast to well-established approaches of (scientific) AI in games, this denotes the central role of the player, as in elevating (novel) experiences, fostering skill acquisition, tailoring content, and player-driven analytics.

Your job

Practical applications of traditional AI have long found their way into industrial video game development (such as pathfinding, behaviour trees or churn prediction). Alongside these, academia has delved deep into AI and games for a number of different directions (e.g. game-playing AI, automated playtesting or generative AI for assets). Yet, the central role of the player (their needs, motivations, and the impact of AI technology on their experience) is less investigated, as it needs a valid environment, expertise in implementing AI, and expertise in human-computer interaction to draw proper conclusions. Some of our successful implementations and possible directions of player-centric AI can be found at the website of Nevermind Creations.

As a PhD candidate in this position, you will conduct independent, high-quality research resulting in a doctoral dissertation. Your research will focus on identifying gaps and opportunities in current trends of AI and game mechanics, implementing custom software that unites these fields (e.g. mods, plugins, or test-bed games), and evaluating this in ideally economically valid environments (player communities). You will collaborate with a team of well-versed academics of diverse skills, and can be embedded in industrial liaison projects if appropriate.

Your qualities

We are looking for an enthusiastic new colleague who meets several or all of the following criteria:

• a Master’s degree in Computer Science or related field, with the ability and willingness to learn new skills as required for the PhD project;
• demonstrable experience with common AI frameworks/libraries (e.g. PyTorch, scikit-learn, Keras) and the associated programming languages - experience with approaches of generative AI (local LLMs/visual generation) is an asset;
• demonstrable experience with contemporary game engines (e.g. Unreal, Unity, Godot) and/or modding existing games;
• a solid understanding of player experience, game mechanics, what makes play difficult, interesting, and unique;
• a strong interest, motivation and enthusiasm for independent as well as team-based scientific research (including collaborative development, evaluation and writing);
• experience and interest in working with data (e.g. cleaning, analysing, drawing conclusions, and transforming complex data for scientific insights as well as interactive application);
• excellent spoken and written English communication and interpersonal skills.

Our offer

• A position for four years;
• a gross monthly salary between €2,901 and €3,707 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU));
• 8% holiday pay and 8.3% year-end bonus;
• a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.

In addition to the terms of employment laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development, leave schemes and schemes for sports and cultural activities, as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University.

About us

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.

Working at the Faculty of Science means bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn and discover how you can become part of our community.

You will join the Multimedia group at the Department of Information and Computing Sciences. You will be working closely with other members in this research group, other research groups within and outside of the faculty, and project partners from outside of Utrecht University. As the research topic has furthermore connections with HCI, data science and psychology, this allows for many interdisciplinary collaborations.

More information

For more information, please contact Dr Johannes Pfau at j.pfau@uu.nl.

Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl.

Apply now

As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.

If you are enthusiastic about this position, just apply via the 'apply now' button. Please enclose:

• your motivation letter (maximum one page), including what attracted your interest in this specific topic;
• your complete and up-to-date curriculum vitae with detailed academic records and qualifications, and a link to an online portfolio of projects if applicable;
• an essay (maximum 4 pages) describing the specific challenges you anticipate in this PhD project, and how you consider approaching them, based on your skills and creativity;
• copies of academic transcripts or a list of courses taken and grades;
• the contact details of at least two references.

Candidates are selected based on their CV, academic qualifications, and motivation. After this initial selection, an interview with the selection committee will take place for the shortlisted candidates.

If this specific opportunity isn’t for you, but you know someone else who may be interested, please forward this vacancy to them.

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