This is a post-doctoral position on the EnSuRe (ExplaiNing SeqUences in Recommendations) project. The research agenda involves:
• Gaining an understanding of people's concerns regarding personalisation for sequences of recommended items.
• Gaining an understanding of people's views on the kinds of explanations that alleviate their concerns and help them to make good decisions.
• Producing guidelines for algorithms for constructing explainable recommender sequences.
• Developing algorithms for explaining sequences containing both novelty and trade-offs effectively, and while considering privacy concerns. This includes investigating the role of context and personal characteristics.
• Facilitating a dialogue between policy makers, researchers, and the general public regarding the findings above.
You hold a PhD in computer science or a related discipline. You have a track record of scientific excellence in the field(s) of recommender systems, user-modelling, multi-objective optimisation, and/or human-computer interaction. You must demonstrate either an ability to design algorithms for sequences of items, or extensive experience designing interactions with recommender systems.
You will be expected to lead or strongly contribute to academic publications, contribute to grant proposals, and interact with stakeholders outside academia (e.g., end users, business and public policy). Strong verbal and written communication skills are therefore also required.
The 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.
For more information about this position, please contact Dr. Nava Tintarev, e-mail: N.Tintarev@tudelft.nl
. To apply, please e-mail a detailed CV, research statement and 2-3 references along with a letter of application by 31 March 2017 to Dr. Tintarev, Hrfirstname.lastname@example.org
When applying for this position, please refer to vacancy number EWI2017-10.
N.Tintarev@tudelft.nlTechnische Universiteit Delft
Delft University of Technology (the TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.
Electrical Engineering, Mathematics & Computer Science
The Department of Software Technology (ST) is one of the leading Dutch departments in research and academic education in computer science, employing over 150 people. The ST Department is responsible for a large part of the curriculum of the bachelor’s and master’s programmes in Computer Science as well as the master’s programme in Embedded Systems. The inspiration for its research topics is largely derived from technical ICT problems in industry and society related to large-scale distributed processing, embedded systems, programming productivity, and web-based information analysis.
The ST Web Information Systems group (WIS, www.wis.ewi.tudelft.nl) concentrates in its research on engineering and science of the Web. The research specifically
considers the role of Web data in the engineering of Web-based information systems. The section is an internationally leading research group in Web-based systems, with WIS researchers and students striving to advance the state of the art in relevant disciplines like Web science, information retrieval, data
science, Web engineering, Web data management, croudsourcing and analytics. WIS members are actively involved in Delft Data Science (DDS).