PhD candidate on policy based federative analytics

Faculty of Science – Faculty of Law

Publication date
13 March 2018
Level of education
Salary indication
€2,222 to €2,840 gross per month
Closing date
12 June 2018
38 hours per week
Vacancy number

The Informatics Institute is one of the research institutes within the Faculty of Science. The Leibniz Center for Law is one of the research institutes within the Faculty of Law. Both institutes are running broad research programs with an overlapping interest in simulation based policy analysis. NWO (the Netherlands Organisation for Scientific Research), together with a number of partners, is funding a four to five year project within these institutes to develop and implement a policy based federated analytics scheme in the context of a trusted digital market place.

Project and job description

Sharing information and digital collaboration is important for increasing performance, lowering costs and reducing risk. Furthermore, digital collaboration makes the creation of new concepts possible, which leads to new business opportunities by providing solutions for optimization challenges. The overarching project will establish an infrastructure where sharing information among partners is easy and robust and can be set up in an ad-hoc fashion. Agreements for information sharing have to be trustworthy, data owners must have full control over who has access to what data and can limit that access to a specific purpose. The infrastructure will maximize business value, enhance existing facilities, comply with various legal requirements whilst allowing partner autonomy. We refer to this infrastructure as a trusted digital marketplace.

As a part of this project, the PhD candidate is going to create a policy-making and test environment that allows the regulators and users of digital market-places to develop and test the effects of regulations and agreements that govern the digital-market place based infrastructure. The candidate will create the normative frameworks and simulation environment that allows these regulators to analyse the impact of their regulatory efforts and concordant enforcement mechanisms. These efforts will result in a holistic policy framework that will be implemented to set, monitor and enforce specific conditions on any element in the data processing chain. This will establish a trusted data analytics pipeline within the digital market place.


Candidates should have completed a master in computer science or a related field. On a masters level, the candidates must have knowledge of knowledge representation, normative reasoning, model building, agent-based simulation and strong coding abilities. Knowledge of law, networks, cyber security and distributed systems is considered as a pre. The candidates must have the ability to give demonstrations to scientific and business audiences. Their grades demonstrate their knowledge and ambition, their master thesis their ability to continue with a PhD research in Computer Science.

Further information


The appointment will be full-time (38 hours a week) for a period of four years (initial employment is 18 months). Periodic evaluations will be held after 9 and 14 months, and upon positive evaluation, the appointment will be extended to a total of 48 months. The appointment must lead to a dissertation (PhD thesis). An educational plan that includes attendance of courses, summer and/or winter schools, and national and international meetings will be drafted for the PhD candidate. We also expect the PhD candidate to assist in teaching of undergraduate students.

The salary is in accordance with the university regulations for academic personnel. The salary will range from €2,222 (first year) up to a maximum of €2,840 (last year) before tax per month (scale P) based on a full-time appointment. There are also secondary benefits, such as 8% holiday allowance per year and the end of year allowance of 8,3%. The Collective Labour Agreement for Dutch Universities is applicable.

Among other things, we offer:

  • competitive pay and good benefits;
  • top-50 University worldwide;
  • one of the best deep learning ecosystems in the world;
  • interactive, open-minded and a very international city;
  • excellent computing facilities.

English is the working language in the Informatics Institute. As in Amsterdam almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

Job application

Applications should include the following information, in separate pdf files (not zipped), using surname, initials and a self-evident word as file names, e.g. , Smith J CV:

  • a curriculum vitae (including an URL allowing download of pdf of M.Sc. thesis -- if relevant);
  • a letter of motivation (at most 1 page) explaining why you are interested in this position;
  • a research statement (at most 2 pages), explaining your research interests and how you think they can be related to the topics mentioned in the job/project description above;
  • a list of all university courses taken, including a transcript of grades;
  • the name and contact details (including email address) of two or three referees who can provide details about your profile (one of them should be the main supervisor of your Master thesis).

All these should be grouped in one PDF attachment.

Completed applications should be submitted via and should state your name and vacancy number 18-114 in the subject field. The committee does not guarantee that late or incomplete applications will be considered.

The selection process commences immediately and continues until a suitable candidate is found.

We will accept applications until 12 June 2018 (extended as long as no suitable applications have been received). #LI-DNP

No agencies please

Published by  University of Amsterdam