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- Tasks: Research algorithmic collusion and develop mathematical tools to measure AI behaviour.
- Company: Join a leading tech university focused on innovative research and societal impact.
- Benefits: Competitive salary, flexible work options, generous leave, and access to sports facilities.
- Other info: Collaborative, interdisciplinary environment with excellent career growth opportunities.
- Why this job: Make a real difference in AI ethics while advancing your research career.
- Qualifications: Master's degree in Mathematics or Theoretical Computer Science; experience in reinforcement learning preferred.
The predicted salary is between 36600 - 46600 £ per year.
Governments and regulatory bodies around the world are discussing how to create laws that ensure artificial intelligence (AI) is used fairly and responsibly. One growing concern is that algorithms could learn to work together in ways that harm society, for example, by raising prices. In this project, you will provide a rigorous foundation for these discussions by examining if and how certain types of algorithms can learn such collusive behaviour. You will develop mathematical tools to measure how likely an algorithm is to engage in this kind of coordination by studying how and what it learns and then use these tools to analyze (using theory and simulations) how changes to three key areas can affect an algorithm’s tendency to collude: (1) its learning objective, (2) the representations of its environment, and (3) changes in the algorithmic metagame. By studying these factors, we will improve understanding regarding which design choices lead to harmful coordination and may need to be regulated in the future.
Your profile
You are an enthusiastic and highly motivated researcher. You have, or you will shortly acquire, a Master's degree in Mathematics or Theoretical Computer Science (or a related field). You preferably have experience in either the mathematics of reinforcement learning or deep learning (or both). You have a creative mindset and excellent analytical and communication skills. You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment. You are proficient in English.
Our offer
A full-time position for four years, with a qualifier in the first year, and the flexibility to work (partially) from home. Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU). You will receive a gross monthly salary ranging from € 3.059, (first year) to € 3.881, (fourth year). There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end‑of‑year bonus of 8.3%, and a solid pension scheme. A minimum of 232 leave hours in case of full‑time employment based on a formal workweek of 38 hours. A full‑time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis. Free access to sports facilities on campus. A family‑friendly institution that offers parental leave (both paid and unpaid). You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision.
Information and application
Are you interested in this position? Please send your application before June 15, 2026, and include: A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and references. A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, motivations to apply for this position. An IELTS‑test, Internet TOEFL test (TOEFL‑iBT), or a Cambridge CAE‑C (CPE). Applicants with a non‑Dutch qualification and who have not had secondary and tertiary education in English can only be admitted with an IELTS‑test showing a total band score of at least 6.5, Internet TOEFL test (TOEFL‑iBT) showing a score of at least 90, or a Cambridge CAE‑C (CPE).
For more information regarding this position, you are welcome to contact Janusz Meylahn at j.m.meylahn@utwente.nl. The first round of interviews will be held in the final week of June. Screening is part of the selection process.
About the department
The position will be in the Applied Mathematics department. The Applied Mathematics department has an active research portfolio in stochastic operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. Our research group, Stochastic Operations Research (SOR), conducts mathematical education and research of internationally high standards in the areas of stochastic processes and mathematics of operations research to contribute to the development of mathematics in a multidisciplinary engineering environment and contribute to a better understanding and functioning of our increasingly complex society.
About the organisation
The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally.
PhD position on Dissecting Algorithmic Collusion in Cambridge employer: Enschede
Contact Detail:
Enschede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD position on Dissecting Algorithmic Collusion in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend conferences, and join relevant online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.
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Prepare for interviews by practising common questions and showcasing your knowledge about algorithmic collusion. Make sure to highlight your analytical skills and any relevant projects you've worked on.
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Don’t just wait for job postings; be proactive! Reach out directly to departments or researchers whose work excites you. Express your interest in their projects and see if they have any upcoming opportunities.
✨Tip Number 4
Apply through our website for the best chance at landing that PhD position. Tailor your application to reflect your passion for mathematics and AI, and don’t forget to showcase your team spirit!
We think you need these skills to ace PhD position on Dissecting Algorithmic Collusion in Cambridge
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your specific interest in the PhD position and how your background aligns with the project. Keep it concise, but don’t shy away from showing your enthusiasm for the research area.
Showcase Your CV: When putting together your CV, be sure to include all relevant courses, grades, and any publications. We want to see your academic journey and how it relates to algorithmic collusion. A well-structured CV can make a big difference!
Proof of English Proficiency: If you’re applying with a non-Dutch qualification, don’t forget to include your IELTS or TOEFL scores. Make sure they meet the requirements mentioned in the job description, as this is crucial for your application to be considered.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important details. Plus, it shows you’re tech-savvy, which is always a plus!
How to prepare for a job interview at Enschede
✨Know Your Algorithms
Make sure you brush up on the algorithms relevant to the position. Understand how they can learn and potentially collude. Be ready to discuss your insights on reinforcement learning and deep learning, as these are key areas for this role.
✨Show Your Analytical Skills
Prepare to demonstrate your analytical thinking during the interview. You might be asked to solve a problem or explain a complex concept. Practise explaining your thought process clearly and concisely, as communication is crucial in this interdisciplinary environment.
✨Research the Department
Familiarise yourself with the Applied Mathematics department and its research groups. Knowing their current projects and how your work could fit in will show your genuine interest and help you ask insightful questions during the interview.
✨Prepare Your Questions
Think of thoughtful questions to ask your interviewers about the project and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the environment is the right fit for you. Remember, interviews are a two-way street!