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Are you an aspiring researcher with an interest in applications of probability theory, for instance in machine learning or neuroscience? Then start your academic career off right as a PhD candidate at one of the top computer science departments in the Netherlands. Using the language of category theory and string diagrams, you will investigate fundamental notions in probability theory.
This PhD position is part of an effort to investigate fundamental notions in probability theory using the language of category theory and string diagrams. The aim is to bring forward the mathematical structures underlying probabilistic reasoning in various areas, with emphasis on probabilistic logic, learning and programming.
The main task is to produce a PhD thesis at the end of the contract. You will publish articles in the scientific literature that will form the building blocks (chapters) for this thesis. An incomplete draft version of a book entitled ‘Structured Probabilistic Reasoning’ will give an impression of the research topic. You can spend a small part of your time (in the order of 10%) as teaching assistant. You will work mainly with Prof. Bart Jacobs , who will be your PhD supervisor, and with Dr Dario Stein.
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You will be appointed at the Computer Science Department of the Institute for Computing and Information Sciences (iCIS). Radboud University’s iCIS is an internationally recognised institute, consistently ranked among the top Computer Science departments in the Netherlands. The institute focuses its research on three themes: Data Science, Digital Security and Software Science. In recent evaluations, iCIS has been consistently ranked as the No. 1 Computing Science department in the Netherlands. More specifically, you will be appointed at iHub , Radboud University’s interdisciplinary research hub on digitalization and society. iHub is Radboud University’s interdisciplinary research hub on digitalization and society. iHub brings together a diverse range of scholars from across the humanities, social sciences, engineering and natural sciences to tackle urgent questions raised by the increased digitalization and datafication of science and society.
The Faculty of Science is a complete science faculty where research and education are closely related. The faculty aims to be an academic community with an international character, where staff members from different backgrounds combine their talents with the common goal of being a leading faculty of science in Europe.
Radboud University
We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 24,000 students and 5,600 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play!
We offer
Additional employment conditions
Work and science require good employment practices. This is reflected in Radboud University’s primary and secondary employment conditions . You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.
Would you like more information?
For questions about the position, please contact Bart Jacobs, Professor at +31 24 365 22 36 or bart.jacobs@ru.nl .
Practical information and applying
You can apply until 30 November 2022, exclusively using the button below. Kindly address your application to Bart Jacobs. Please fill in the application form and attach the following documents:
The first round of interviews will take place in the week of 9 January.
You would preferably begin employment as soon as possible.
We can imagine you’re curious about our application procedure . It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates.
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Application deadline 30 November 2022
We would like to recruit our new colleague ourselves. Acquisition in response to this vacancy will not be appreciated.
Prof. Jacobs, B.P.F. (Bart)
Professor
b.jacobs@cs.ru.nl
+31 24 365 22 36
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Last modified:
07 November 2022
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