02 Tenure Track Positions in Machine Learning 1017 views

The Amsterdam Machine Learning Lab in collaboration with the Amsterdam ELLIS Unit at University of Amsterdam (UvA) has two open tenure track positions at the assistant professor level.

Topics including:

• probabilistic programming;
• neural approaches to programming;
• induction, combinatorial optimization and reasoning;
• quantum machine learning;
• applications of ML in the physical sciences.

Tasks and responsibilities:

• The selected candidates are expected to conduct top level research in machine learning and publish in the top tier conferences and journals such as NeurIPS, ICML, ICLR, JMLR, AISTATS, and UAI;
• The selected candidates are expected to acquire your own independent funding from sources such as NWO/STW (e.g. VIDI), H2020 (e.g. ERC starting grant) and industry;
• In terms of teaching, the selected candidates will contribute to strengthening the curriculum in machine learning of the Master AI, the Bachelor AI and related programmes such as the Bachelor at the AUC and the Master Information Systems, which all offer ML courses. The teaching load is around 30%
• The selected candidates are expected to contribute to valorisation, both in terms of engaging with the media as well as applying the state-of-the-art research tools to applications in society. UvA spinoffs that bring technology to industry and society are highly encouraged;

Requirements:

• Applicant must hold a doctorate in Computer Science or a related area;
• A strong track record in research is essential, as demonstrated by independent scientific publications in peer reviewed journals, as well as research interest and expertise in the area of machine learning;
• The ability to obtain research funding in a competitive environment;
• The ability to provide evidence of teaching abilities as well as the ability to supervise BSc, MSc and PhD students;

Applications:

Apply online and the applications in .pdf should include:

• letter of motivation (1 page maximum);
• curriculum vitae, including list of publications and taught courses;
• research statement (2 pages maximum);
• teaching statement (1 page maximum);
• list of three references from different institutes