Faculteit/Dienst: Faculteit der Natuurw., Wiskunde & Informatica
Functie type: Wetenschappelijk Personeel
Sluitingsdatum: 13 december 2021
Are you interested in interdisciplinary machine learning research? The Amsterdam Machine Learning Lab (AMLAB) in collaboration with the Amsterdam ELLIS Unit has a Tenure Track position as 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, and reinforcement learning. We also work on applications to a range of domains, including, astronomy, physics, biology, autonomous driving, and medical image analysis.
We are inviting applications from excellent candidates whose research focuses on machine learning, including application areas of machine learning in the natural sciences. We are highly encouraging applications by researchers from under-represented groups in computing and will explicitly prioritize such applications in our review process.
What are you going to do
You are expected to:
conduct world class research in machine learning and publish in the top tier conferences and journals such as NeurIPS, ICML, ICLR, JMLR, AISTATS, and UAI;
acquire your own independent funding from sources such as NWO/STW (e.g. VIDI), H2020 (e.g. ERC starting grant) and industry;
will contribute to strengthening the curriculum in machine learning of the master AI, the Bachelor AI and related programs such as the bachelor at the AUC and the master Information Systems, which all offer ML courses. The teaching load is around 30%;
contribute to technology transfer and knowledge utilization (also known as valorization), 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;
perform service to help manage the Informatics Institute.
What do we require
Your research interests should fall within the general area of machine learning. You must hold a doctorate in Computer Science or a related area (broadly construed). A strong track record in research is essential, as demonstrated by independent scientific publications in peer-reviewed conferences and journals, as well as research interest and expertise in the area of machine learning. You should be able to obtain research funding in a competitive environment. In addition, you must be able to provide evidence of teaching abilities as well as the ability to supervise BSc, MSc and PhD students. At least two years of postdoc experience is preferred but not strictly necessary. International research experience is also preferred.
We offer a temporary employment contract with a tenure track agreement for the duration of five years. You will be offered a permanent position after positive assessment and evaluation.
The type of appointment 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.
The gross monthly salary based on full-time employment (38 hours per week) ranges from €3,807 up to a maximum of €5,922 (salary scale 11/12). 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 profile Assistant Professor is applicable in accordance with the Collective Labour Agreement of Dutch Universities.
Are you curious about our extensive package of secondary employment benefits like our excellent opportunities for study and development? Take a look here.
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 (IvI) 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.
Do you have any questions or do you require additional information? Please contact:
Prof. Max Welling, or
Dr. Jan-Willem van de Meent
T: + 31 (0)20 525 8256 / +31 (0)6 52 82 49 13
Do you recognize yourself in the job profile? Then we look forward to receiving your application by 13 December 2021.
a letter of motivation (1 page maximum);
a curriculum vitae, including list of publications and taught courses;
a research statement (2 pages maximum);
a teaching statement (1 page maximum);
a list of three references from different institutes.
Please mention the months (not just years) in your CV when referring to your education and work experience.
At this stage of the procedure, please do not send letters of reference or proofs of your academic writing. Late or incomplete applications will be considered at the committee’s discretion.
The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.