Explore the potential of Generative AI and Large Language Models in interactive settings with a Ph.D. at Maastricht University.

Job Description
Generative AI and Large Language Models in Interactive Settings
Generative AI and Large Language Models (LLMs) are rapidly evolving into pivotal tools across a spectrum of societal applications. From enhancing customer service with intelligent chatbots to aiding professionals in fields like text editing and software development, these technologies are on the cusp of becoming ubiquitous digital assistants for a wide array of knowledge work. The specific effectiveness of these tools, however, varies greatly depending on the nature of the task at hand.

In this innovative project, we aim to probe deeper into the functionalities and broader implications of LLMs in both cooperative and competitive contexts. Imagine scenarios where these technologies facilitate and transform interactions, such as a collaborative effort between a teacher and a learner, both augmented by AI, or a negotiation setting where buyers and sellers use AI to forge agreements. We seek to explore effective strategies for integrating Generative AI in such interactions and assess its impact on the outcomes.

Your Role:

• Investigate and innovate on how LLMs can be employed to enhance and transform everyday interactions within various settings.
• Contribute to a dynamic research environment where your ideas will help shape the future applications of AI in social contexts.

Requirements
We are looking for a visionary candidate with a solid foundation in data science and AI, coupled with a keen interest in social sciences that examine human and institutional interactions—areas like behavioural economics, political science, psychology, or educational sciences might be particularly relevant.

We encourage you to bring your own unique perspectives and ideas. The direction of your PhD project can be tailored to leverage your previous experiences and areas of interest, allowing you to pioneer new ways of applying these advanced technologies.

What we offer
As a PhD at the School of Business and Economics, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale PhD according to UFO profile PhD, with corresponding salary based on experience ranging from €2770,00 in the first year and €3539,00 gross per month in the fourth year (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 18 months with a scope of 1.0 FTE. Upon a positive evaluation, an extension of 2.5 years will follow.
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'.

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
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 School of Business and Economics
The School of Business and Economics (SBE) is one of Maastricht University’s six faculties. Our mission is to contribute to a better world by addressing societal problems, by co-creating knowledge and developing team players and leaders for the future.

By joining SBE, you will be part of the 1% of business schools worldwide to be Triple Crown accredited (EQUIS, AACSB and AMBA). You will join an inspiring and international environment, where learning and development is priority.

Data Analytics and Digitalisation Department
The Department of Data Analytics and Digitalisation at Maastricht University merges excellence in business education with cutting-edge data science. Our focus spans from theoretical studies to practical applications, enhancing decision-making in business and economics. We offer comprehensive education across all levels and collaborate with regional and global partners to advance data science research and application.

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Burak Can via b.can@maastrichtuniversity.nl or Rudolf Muller via r.muller@maastrichtuniversity.nl for more information.

Applying?
Or are you already convinced and ready to become our new PhD Candidate? Apply now, no later than 11 August 2024, for this position.

To ensure a comprehensive evaluation of your application for the Ph.D. position, please include the following documents:

• Curriculum Vitae (CV): Provide your full academic and professional history.
• Personal Statement: Explain how your interests and past experiences align with the specific goals of our project on Generative AI and LLMs.
• Academic Transcripts: Show your educational achievements.
• Research Proposal: Detail your proposed research focus within Generative AI and LLMs.
• Two Letters of Recommendation: Include contacts who can speak to your academic and research skills.
• Relevant Project Evidence: Provide any materials that demonstrate your experience with projects or research that are relevant to this Ph.D. position.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.