Asst./Assoc. Professor in Recommender Systems Delft University of Technology, Faculty Electrical Engineering, Mathematics and Computer Science Netherlands

Asst./Assoc. Professor in Recommender Systems


Department/faculty: Faculty Electrical Engineering, Mathematics and Computer Science


Level: Doctorate


Working hours: 38-40 hours weekly


Contract: Tenure


Salary: 3425 - 6567 euros monthly (full-time basis)


Faculty Electrical Engineering, Mathematics and Computer Science

 

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.


The Department of Intelligent Systems conducts research on processing and interpretation of data to address the increasing volume and complexity of data and communication in today's world. The Multimedia Computing Group within the Department of Intelligent Systems develops algorithms for enriching, accessing and searching large quantities of data. Such algorithms lie at the core of tomorrows’ search engines and recommender systems. The focus is on innovative solutions that are oriented to the needs of users, making possible satisfying, personalized interaction with large collections of heterogeneous, unstructured (e.g., multimedia) data in real-world contexts. The group combines expertise on multimedia information retrieval, machine learning, multimedia signal processing and network data science.

 

Job description
The candidate will actively contribute to the educational activities in Computer Science and strengthen the research theme on recommender systems. This research theme addresses the challenge of selecting useful information from the large, heterogeneous and complex real-world data collections to meet the specific needs of users and improve their experience taking into account their context and intent. This requires theory and algorithms that secure efficient, effective, personalized, transparent and time-evolving connectivity between data, users and other stakeholders, like content owners and service providers. In addition, recommender systems need to be developed in a socially-responsible manner, increasing e.g., recommendation diversity and fairness to mitigate long-term negative effects, like discrimination or filter bubbles, as a consequence of algorithmic bias. Applications are in the domains of retail, news, education, health, wellbeing, entertainment and safety. The need to balance the user- and society-related objectives brings this research theme under the realm of explainable and responsible artificial intelligence, which is one of the strategic research domains of the Computer Science at the Delft University of Technology.

 

Requirements
The candidate has a PhD in computer science or a related discipline, with experience in recommender system design, implementation and evaluation and with affinity for user considerations and societal impact. The candidate is also expected to master modern information retrieval and machine learning approaches, (big-data) platforms and tools typically deployed in the recommender systems context. He/she must be able to work effectively in a multidisciplinary team and have (the ambition to build) partnerships with leading institutions worldwide. Good communication skills are important, as is the ability to interact with peers, students, and technical staff. Having experience in university-level teaching and ambition to innovate academic education would be appreciated.

 

Conditions of employment
Candidates at the level of Assistant Professor are offered a tenure-track position. At the start of the tenure-track you will be appointed as Assistant Professor for


the duration of six years. Section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on


performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the


tenure track, you will be appointed in a permanent Assistant Professor position.


For candidates at the Associate Professor level we initially offer a temporary appointment with the prospect of a permanent position.


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. TU Delft sets specific standards for


the English competency of the teaching staff. TU Delft offers training to improve English competency. Inspiring, excellent education is our central aim. If you


have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

 

Information and application
For more information about this position, please contact Prof. A. Hanjalic, phone: +31 (0)15-2783084, e-mail: a.hanjalic@tudelft.nl. To apply, please e-mail a detailed CV, a research and an education statement, at least three references and at most five key publications along with a letter of application by 1 March 2019 to Mrs. Dr.ir. C.A. Reijenga, hr-eemcs@tudelft.nl. When applying for this position, please refer to vacancy number EWI2018-85.


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