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We are seeking a highly qualified PhD candidate with a background in philosophy to join our research team and pursue groundbreaking research in philosophy with a focus on the epistemology and ethics of Conversational AI. If you are the successful candidate, you will participate in the development of new techniques and methodologies for the responsible development and use of trustworthy Conversational AI systems to support expert scientific teams in their work. You will use methods and conceptual frameworks from philosophy (e.g. social epistemology), cognitive science, ethics, and responsible innovation studies (e.g. design for values) to investigate how experts can work with Conversational AI in an ethically and epistemologically sound fashion.
In this role, you will work closely with data scientists, developers and the Lab’s industrial partners. You will be part of one of the 17 new ICAI labs, named GENIUS (Generative Enhanced Next-Generation Intelligent Understanding Systems) consisting of 5 PhD students, who will collaborate to create human-AI knowledge engineering systems to support collaborative knowledge synthesis, integration of distributed knowledge, knowledge-graph and services powered generative AI, neurosymbolic reasoning, and hybrid human-AI ethics.
The GENIUS lab will bring together two of the strongest groups on human-AI knowledge engineering in the Netherlands (UM and Delft), with industry partners DSM and kickstart.ai, to develop effective and trustworthy generative AI technologies in a variety of contexts including food innovation and supply chains.
The GENIUS lab is part of the large LTP ROBUST program “Trustworthy AI-based Systems for Sustainable Growth” consortium, comprising 17 universities, 19 industry partners, and 15 collaborating partners representing diverse stakeholder groups. You will gain valuable experience working with an industry partner, and will be able to tap into a wealth of networking, career development, and training opportunities in conjunction with ICAI, the Innovation Center for Artificial Intelligence at the University of Amsterdam.
This PhD position is embedded in the Maastricht University Science and Technology Studies Research Group (MUSTS). There you will be supervised by Dr. Darian Meacham and Dr Massimiliano Simons. You will be provided with training on general academic skills in the faculty’s Graduate School. Further training is available through the Dutch national research school in philosophy. You will also work closely with the researchers at the Maastricht University Institute of Data Science (IDS) and TUDelft. The co-supervisors at Delft are Prof dr. Jeroen van den Hoven and Dr Stefan Buijsman. As the PhD will entail a close collaboration between Maastricht University and TUDelft, an extended research stay at TUDelft as well as internship with another partner in the project will be a component of the PhD.
We expect you to:
If your profile does not completely meet the above criteria, but you are interested and you want to show us your unique perspective on why you would fit this project, we would still like to hear from you.
Fixed-term contract: 4 years.
As a PhD Camadidate at the Faculty of Arts and Social Sciences, you will be employed by the most international university of the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:
The terms of employment at Maastricht University are largely set out in the Collective Bargaining Agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, Click here
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.
In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.
With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.
Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.
Click here for more information about UM.
The Faculty of Arts and Social Sciences FASOS is a close-knit community of approximately 250 staff members and 1200 students. During breaks and before meetings, you can often find us at our favourite local coffee spot Bandito Espresso.
Communication lines within our faculty are short and colleagues are always ready to assist each other. FASOS consists of a highly international student population and a significant part of our staff comes from abroad. Our faculty offers four bachelor programs, eight masters programs and two research master programs that are all characterized by their interdisciplinary approach.
Our research institute studies societies and cultures as they have developed in the modern and contemporary periods. We adopt a radically interdisciplinary approach, analysing the interconnections between Europeanization, globalization, scientific and technological advancement, political change, and cultural innovation.
In addition to teaching and research, our colleagues enjoy expressing themselves creatively. They create podcasts, write poetry as well as fiction.
Working at FASoS means being part of a challenging yet informal environment. We believe in crafting your own career path and are always ready to assist you in making the most of your job. For more information about FASoS, you can visit our website: FASoS
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