[agents] PhD student trust modelling for technology, TU Delft

[Myrthe Tielman]

PhD student trust modelling for technology - Delft University of Technology (M.L. Tielman)
Department/faculty: Faculty Electrical Engineering, Mathematics and Computer Science

Working hours: 38-40 hours weekly
Contract: 4 years
Salary: 2325 - 2972 euros monthly (full-time basis)
Closing date: December 10 2019


Job description:
Trust is an important aspect of any interaction, but especially when you are interacting with a piece of technology which does not think like you do. Nowadays, many systems are being developed which have the potential to make a difference in people’s lives, from health apps to robot companions. But to reach their potential, people need to have appropriate levels of trust in these systems. And therefore, systems need to understand how humans trust them, and what to do to promote appropriate trust.

The aim of your research will be to study trust through both a formal and social lens. You will be working on a formal framework which would allow a system to model and understand the trust of their users. But also use methods from human-computer interaction research to study if these models work in practice, and what would eventually be necessary for systems to elicit appropriate levels of trust from their users. The context of this research will be AI systems which interact with their users to offer personal support.       


Requirements:
A successful candidate has/is:
A master’s degree in artificial intelligence or related field
Affinity with both formal modelling and human-computer interaction related research
Independent, reliable and motivated
Speaks, writes and presents in English        


About the department & faculty:
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. https://www.tudelft.nl/en/eemcs/the-faculty/

The department of Intelligent Systems (INSY) conceptualizes computer science methodologies to sense, abstract, learn, reason, elicitate and adapt data and their meaning in ways that respect human values in order to increase human effectiveness in well-being and social innovation. At the heart of the department is therefore the research and teaching in computer science theory, algorithms and solutions for information processing systems that support humans (e.g. robotics), new products (e.g. internet services), and science (e.g. biology)

The Interactive Intelligence group focuses on interaction of users with intelligent systems. In particular we have a strong track record on the development of smart interactive agents.  Such agents possess capabilities including learning, reasoning, social skills, emotions, and norms and can interact with humans. These agents typically function as coach, artificial actor, or companion, and are used in a wide variety of applications including therapy, health and entertainment. 


Conditions of employment:
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.


Information and application:
For information about this vacancy, you can contact Dr. Myrthe Tielman, Assistant Professor, email: m.l.tielman at tudelft.nl

For information about the selection procedure, please contact Karin Reijenga, HR, email: vacancies-eemcs at tudelft.nl.

To apply, please send by e-mail an application letter, a curriculum vitae, transcripts of BSc and MSc degrees, copies of BSc and MSc diplomas, proof of language skills if applicable, and the names of two references by December 10, 2019 to Dr. C.A. Reijenga , vacancies-eemcs at tudelft.nl. 

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