|Publication date||14 December 2018|
|Closing date||1 March 2019|
|Level of education||PhD|
|Hours||38 hours per week|
|Salary indication||€5,294 to €8,127 gross per month|
The Faculty of Science of the University of Amsterdam occupies a leading position internationally in its fields of research and participates in a large number of cooperative programmes with universities, research institutes and businesses. The Faculty has a student body of around 7,000 and 1,500 members of staff, spread over eight research institutes and a number of faculty-wide support services. A considerable part of the research is made possible by external funding from Dutch and international organisations and the private sector. The Faculty of Science offers 11 Bachelor's degree programmes and 18 Master’s degree programmes in the fields of the exact sciences, computer science and information studies, and life and earth sciences.
Within the Faculty, the information sciences are organized in two research institutes, the Informatics Institute and the Institute for Logic, Language and Computation. The Informatics Institute (IvI) encompasses around 270 members, organized in eight research groups that cooperate intensively, both formally and informally.
We are recruiting an established and internationally recognized scholar at the level of full or associate professor (depending on qualifications) in the area of Machine Learning.
We are seeking a candidate to chair our Machine Learning group (AMLAB) either at Full professor or Associate professor level (depending on qualifications). You are expected to make significant contributions in world-class research and top-quality academic teaching, as well as effective contributions to management and organization of the research group and the Informatics Institute.
We expect you to consolidate the leading research position AMLAB currently enjoys worldwide, to consolidate the current strengths of the group, such as deep learning and causality and to lead the group to new promising research directions such as (deep) reinforcement learning, privacy preserving Machine Learning and Machine Learning designed for hardware.
AMLAB is part of a world-class collaborative ecosystem in artificial intelligence, with leading groups in Information Retrieval (Prof. Maarten de Rijke, UvA), Computer Vision (Profs. Cees Snoek and Arnold Smeulders, UvA), 3D Vision (Prof. Theo Gevers, UvA), Knowledge Representation (Prof. Frank van Harmelen, VU), Theory of Machine Learning (Prof. Peter Grunwald, CWI) among others. Moreover, a number of new industry labs have been founded over the past years with 10 or more researchers, such as QUVA lab (Qualcomm-UvA) and Delta lab (Bosch-UvA) as well as a number of smaller labs (SAP, Philips, Microsoft).
We expect you to sustain the group by acquiring funding from national, international, and industrial sources and actively contribute to exploitation of scientific research, thus contributing to the valorisation duty of the University. Involvement with a startup to commercialize research results is encouraged.
Do you have the ambition to lead a diverse research group? Are you able to inspire the Machine Learning group, representing the group and maintaining and further building on the international academic visibility of the Machine Learning group? Do you have a talent for, and a clear vision on university teaching and research? Come work with us and help extend a collaborative academic environment in which teaching, research, and innovation go hand-in-hand. As our colleague, you can also contribute to our vibrant undergraduate and graduate programs in artificial intelligence.
We also expect you to collaborate with the other research groups within our institute and to reach out to other academic disciplines at the Faculty of Science, UvA and beyond. Current collaborations include biology, astronomy (ASTRON) and chemistry and medical imaging (collaborations with AMC, Radboud UMC, Utrecht MC and Cedar Sinai hospital Los Angeles). But we expect a very wide range of possible collaborations beyond these topics including finance, social sciences and humanities, and so on.
We require of you:
For further information, questions and/or comments please contact:
Names of qualified candidates may also be suggested to Dr Pimentel.
The position will be filled at the level of Associate or Full professor, depending on qualifications. We offer a challenging job at a dynamic and ambitious university, a permanent tenured appointment and an attractive package of fringe benefits, for instance: generous leave arrangements, application for attractive fiscal arrangements are possible for employees from abroad, attractive retirement benefits, collective health insurance and excellent parental leave packages.
The gross monthly salary of the Associate professor position (UHD1) will be in accordance with the University regulations for academic personnel and will range from €5,294 up to a maximum of €6,738 (salary scale 14) effective 1 February 2019.
The gross monthly salary of the Full professor will be in accordance with the University regulations for academic personnel and will range from €5,582 up to a maximum of €8,127 (salary scale HL2) effective 1 February 2019.
At any appointment level, the salary is based on a full-time appointment and depending on qualifications, expertise and on the number of years of professional experience. The total salary includes an additional 8% holiday allowance and 8.3% end-of-year bonus, under the Collective Labour Agreement of Dutch Universities.
The UvA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We value a spirit of enquiry and endurance, provide the space to keep asking questions and cherish a diverse atmosphere of curiosity and creativity.
The IvI strives for a better gender balance in its staff. We therefore strongly encourage women to apply for this position.
You can send in your application no later than 1 March 2019 using the link below. Please upload the following information in a single PDF file:
Include 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. #LI-DNP
No agencies please