Tenure Track Position in Information Retrieval
Updated: 27 Jul 2021
Are you interested in creating intelligent systems that provide people with timely, relevant and reliable information? Systems that collaborate with users to better understand their needs, systems that analyze, represent and understand data in all formats and modalities, and learn how to best retrieve, summarize and communicate information to users? Are you passionate about research and education?
We are seeking a tenure track assistant professor interested in the development of intelligent information retrieval and recommender systems. Relevant experience includes, but is not limited to, search and ranking, content recommendation and analysis, machine learning for IR, semantics, dialogs, human factors and evaluation.
You will be joining a growing and vibrant team of colleagues within the Informatics Institute (IvI) of the University of Amsterdam who are tackling problems related to the development of data-driven AI technology, and in particular the Information Retrieval Lab, one of the leading groups in the field in Europe and World-wide. We are situated within Amsterdam’s larger artificial intelligence and data science ecosystem (e.g., Innovation Center for Artificial Intelligence (ICAI), Amsterdam Data Science (ADS), AI Technology for People, and the Hybrid Intelligence center)and value socially relevant, practice-informed and interdisciplinary research and outreach. The UvA is consistently ranked in the global top 50 for computer science and information systems (QS ranking).
Our team has a strong collaborative and collegial atmosphere. We strongly encourage applications coming from a unique perspective. Tell us how your background fits with the focus of this position, even if your profile is slightly different from the profile / requirements written below.
Wat are you going to do
You are expected to:
- build a team and pursue a highly visible research agenda, both independently and in collaboration with other groups;
- contribute to IvI's education program; the program includes Bachelor's and Masters’ programs in information science, computer science, data science, and artificial intelligence; teaching is approximately 30% of the position’s total time;
- acquire funding from sources such as the national funding agency NWO, EU funding and industry;
- contribute to outreach, both in terms of engaging with the media as well as applying state-of-the-art research tools to applications in society are valued. UvA spinoffs that bring technology to industry and society are highly encouraged.
What do we require of you
- A PhD degree in artificial intelligence, computer science or closely related field;
- a proven interest in (but not limited to): machine learning, data-driven solutions, and/or human-machine intelligence, for retrieving and/or recommending information;
- a strong publication record as demonstrated by international peer reviewed publications;
- experience building AI systems or developing AI algorithms that address information retrieval challenges;
- experience in applying for research funding;
- a track record and affinity for teaching and supervision (at the undergraduate and graduate levels).
International research experience is preferred, as is a highly collaborative and enthusiastic approach.
We offer a temporary employment contract for 38 hours per week with a tenure track agreement for the duration of five years (which is part of a six-year temporary contract). You will be offered a permanent position after positive assessment and evaluation.
The salary, depending on relevant experience before the beginning of the employment contract, will be €3,746 to €5,826 (scale 11-12) gross per month, based on a fulltime contract (38 hours a week). This is exclusive 8% holiday allowance and 8.3% end-of-year bonus. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.
Are you curious about our extensive package of secondary employment benefits like our excellent opportunities for study and development? Take a look here.
38 hours per week
Science Park 904