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Are you interested in interdisciplinary machine learning research? The Amsterdam Machine Learning Lab in collaboration with the Amsterdam ELLIS Unit has two open tenure track positions at the assistant professor level.
Machine learning has become a driving force behind many recent breakthroughs in artificial intelligence. From speech-recognition, image analysis, natural language understanding, machine translation, query and answering systems, protein folding, and even playing GO, deep learning is breaking records. These exciting developments have not gone unnoticed to industry either: Google, Facebook, IBM, Qualcomm, Yahoo, Microsoft, Bosch, Uber and so on all have large teams of researchers working in machine / deep learning.
AMLAB is performing high quality research in fields ranging from probabilistic programming, geometric deep learning, unsupervised and self-supervised learning, causality, reinforcement learning, and more. We study a wide range of applications in astronomy, physics, biology, autonomous driving, medical image analysis etc.
We are inviting applications from excellent candidates in a broad range of topics including:
We are committed to offer at least one of the positions to a female candidate in the case of equal qualifications.
What are you going to do?
What do we require?
At least two years of postdoctoral experience is preferred but not strictly necessary. International research experience is also preferred.
Our offer
We offer a temporary employment contract for five or six years with a tenure track agreement for the duration of four or five years. You will be offered a permanent position after positive assessment and evaluation. The type of contract is negotiable and depends on experience and scientific profile of the selected candidate. The Committee will make an offer pending the vacancy and your experience and track record.
The starting salary will be in accordance with university regulations for academic personnel, and depending on experience and qualifications. It will range from a minimum €3,746 to €5,826 (scale 11/12). This is exclusive of 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.
With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands. Teaching and research at the UvA are conducted within seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Law, Science, Medicine and Dentistry. Housed on four city campuses in or near the heart of Amsterdam, where disciplines come together and interact, the faculties have close links with thousands of researchers and hundreds of institutions at home and abroad.
The UvA’s students and employees are independent thinkers, competent rebels who dare to question dogmas and aren’t satisfied with easy answers and standard solutions. To work at the UvA is to work in an independent, creative, innovative and international climate characterised by an open atmosphere and a genuine engagement with the city of Amsterdam and society.
The Faculty of Science has a student body of around 7,000, as well as 1,600 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
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