We are looking for a researcher on the subject of ‘virtual research environment for data and machine learning centric research’. Data centric approaches are playing an important role in scientific domains like environmental and earth sciences. Machine learning based models and simulations are important elements for building computational experiments. In this position you will tackle the technical challenges in automating and optimizing the data management, machine learning pipelines and distributed computing tasks.

What are you going to do?

We are looking for a postdoctoral researcher with expertise in machine learning and data management, and with skills of cloud computing and scientific workflow management. You will develop models and tools to execute applications which consist of data intensive processing, simulation and machine learning components across distributed infrastructures. You will tackle the challenges in scheduling the application components (machine learning and data processing) based on availability of computing capacity and location of data to meet the specific application requirements. You will work in the context of several ongoing EU H2020 projects.

What do we require?

You should have a PhD degree in computer science or other relevant disciplines, fluently speak and write English. International research experience is preferred as well as a highly collaborative and enthusiastic approach. Specifically, we are interested in people with:

• expertise in machine learning and data management;
• expertise in programming (using Java, Python or other languages);
• excellent research skills, evidenced by a track record of publications in renowned international conferences and journals;
• excellent communication skills;
• familiarity with cloud computing technologies.

Our offer

We offer a temporary contract for 38 hours per week for the duration of 21 months. The salary, depending on relevant experience before the beginning of the employment contract, will be €2,790 to €4,402 (scale 10) 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.

University of Amsterdam

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.

Faculty of Science – Informatics Institute

The Faculty of Science has a student body of around 6,500, 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, or machines that display intelligent behaviour.

The mission of the Informatics Institute is to perform curiosity-driven and use-inspired fundamental research in Computer Science. 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.

The MNS group is part of the Systems and Security Lab (SNE), one of the three research clusters at the Informatics Institute. The group focuses its researches on the fundamental architectural problems that arise from the interconnection of systems and of data flows. We look at the emerging architectures that can support the operations of the future Internet. In particular we focus on the delivery of secure and sustainable ICT services across multiple domains. Device programmability and virtualization play in this field an ever-increasing role in designing networks and ICT infrastructures. We address the interoperability challenges in supporting discovery, analysis and interoperation between heterogeneous complex infrastructures. Our vision is to build an effective ‘knowledge fibre’ to facilitate information discovery, integration and reuse across distributed infrastructures.