The position:

The candidate will work in the European funded project PROCESS. The goal is to narrow the gap between user communities and digital infrastructure. The research is driven by 5 concrete scientific and industrial use-cases ranging from astronomy to medical imaging and Big Data analysis for airlines. The PhD candidate will work on defining and developing reliable and scalable techniques for exascale computing.

The candidate is expected to publish his/her results in peer reviewed conferences and journals, which will form the basis of a PhD thesis to be obtained from the University of Amsterdam (promotor Rob van Nieuwpoort, co-promotor Jason Maassen). The candidate will be based at the Netherlands eScience Center in Amsterdam, but is expected to work at least one day a week at the University of Amsterdam.

We require:

• Academic level;
• Finished master degree in computer science or equivalent study;
• Prior expertise in one or more of the following fields: high-performance computing, parallel and distributed programming, Big Data, scientific data processing;
• Strong programming skills in C, C++, Java, Python;
• Fluency in oral and written English is required as well as good presentation skills;
• Capable of working in an interdisciplinary team of researchers and industrial partners.

We offer a temporary position at the eScience Center for a fixed period of 4 years within the collective agreement for Dutch Research Institutes. The salary is based on the salary scales in the cao-OI, starting at € 2.246,- in the first year and growing to € 2.879,- in the fourth year of employment, with a 38-hour working week. Holiday pay amounts to 8% of gross salary and we also offer a 13th month of salary as an end-of-year payment. 

The Netherlands eScience Center

The Netherlands eScience Center supports and reinforces multidisciplinary, data and computational intensive research through creative and innovative use of digital technologies in all its manifestations. We stimulate enhanced Science (eScience) by focusing on collaboration with universities, research institutions and industry. We aim to change scientific practice by making large-scale big data analysis and computation possible across multiple scientific disciplines in order to achieve scientific breakthroughs.

In this way, we create an effective bridge between scientific research and state-of-the-art digital technologies.

http://www.esciencecenter.nl