ORGANISATION/COMPANYEindhoven University of Technology (TU/e)
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE12/08/2019 00:00 - Europe/Brussels
LOCATIONNetherlands › Eindhoven
TYPE OF CONTRACTTemporary
HOURS PER WEEK38.0
This research position is embedded in a research program on developing probabilistic (Bayesian) machine learning methods for development and deployment of in-situ operating intelligent autonomous agents. Typical applications for these agents include in-situ learning of personalized hearing aid or gesture recognition algorithms or in-situ learning by adaptive robots. In order to support this research program, we develop and maintain a "probabilistic programming" toolbox (in programming language Julia, http://julialang.org ) to support efficient implementation of Bayesian intelligent agents, see http://forneylab.org . A crucial goal of the toolbox is to automate probabilistic reasoning by Bayesian agents through message passing algorithms on graphs. This PhD project is aimed at further development of the toolbox, both in theoretical and practical directions. Key areas of interest include Bayesian machine learning, functional and reactive programming, probabilistic programming and automatic differentiation. The position is very suited for a programmer/developer with a serious interest in learning about modern developments in Bayesian machine learning and probabilistic programming. The starting date is preferably around September or October in 2019.
Please browse our web page http://biaslab.org for more information on our research goals.
- A challenging job for 4 years in a dynamic and ambitious university and a stimulating research environment;
- Support with your professional and personal development;
- A gross salary per month of € 2325,- (first year) as a PhD up to € 2972,- (final year) in accordance with the Collective Labor Agreement of the Dutch Universities
- Plus 8% holiday allowance + 8.3% end of the year allowance.
- An extensive package of fringe benefits, e.g., support in moving expenses, excellent technical infrastructure, on-campus child care, and excellent sports facilities.
For more information about the advertised position, please contact:
Prof.dr.ir. Bert de Vries, bert.de.vries[at]tue.nl, team web http://biaslab.org
More information on employment conditions can be found here: http://www.tue.nl/en/university/working-at-tue/working-conditions/ .
If interested, please use 'apply now'-button at the top of this page. You should upload the following:
- a cover letter explaining your motivation and suitability for the position;
- a detailed Curriculum Vitae;
- a written scientific report in English (MSc thesis, traineeship report or scientific paper)
- copies of diplomas with course grades (transcripts).
Please keep in mind; you can upload only 5 documents up to 2 MB each!
Web site for additional job details
- You should have a Master's degree in computer science, electrical engineering, physics or similar with excellent grades.
- You will develop open source code for simulating machine learning experiments, so we put a high value on candidates with a strong professional record and interest in developing code. Please supply some evidence for your programming record, e.g., a link to your github page.
- In order to complete a PhD, it will be essential to have a good written and spoken command of English. If you have written a MSc thesis (or published a scientific paper) in English, please send it along with your application.
- Finally, we appreciate a team player attitude, willingness to work hard and know how to have fun at it.
EURAXESS offer ID: 408123
Posting organisation offer ID: 54855
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