RESEARCHER PROFILEFirst Stage Researcher (R1)Recognised Researcher (R2)
APPLICATION DEADLINE31/10/2021 23:00 - Europe/Brussels
LOCATIONNetherlands › Nijmegen
TYPE OF CONTRACTTemporary
HOURS PER WEEK40.0
Developing machine learning methods for many-body quantum physics can help us solve generic many-body quantum models, as well as study diverse phenomena in strongly-correlated electron systems. As a PhD Candidate, you will focus on developing these machine learning models to push this emerging field forward.
We are looking for a highly motivated and skilled candidate with a strong background in theoretical physics or computer science to join us in our effort to develop machine learning methods for many-body quantum physics. Our primary goal is to push this emerging field forwards to the point where deep learning could be universally used for solving generic many-body quantum models and studying diverse phenomena in strongly correlated electron systems, such as superconductivity or spin liquids. Your research will be balanced between method development and addressing concrete physical questions. You will work as a member of the Theory of Condensed Matter group at the Institute for Molecules and Materials at Radboud University under the supervision of Dr Andrey Bagrov and Prof. Mikhail Katsnelson and in a close collaboration with other PhD candidates. You will also have some moderate teaching duties such as serving as an assistant at problem classes and grading homework (~3-4 hours per week every second term).
- Employment for 0.8 (5 year contract) - 1.0 FTE (4 year contract).
- The gross starting salary amounts to €2,434 per month based on a 38-hour working week, and will increase to €3,111 from the fourth year onwards (salary scale P).
- You will recieve 8% holiday allowance and 8.3% end-of-year bonus.
- You will be employed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 2.5 years (4 year contract) or 3.5 years (5 year contract).
- You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen.
- Working for us means getting extra days off. In case of full-time employment, you can choose between 29 or 41 days of annual leave instead of the legally allotted 20.
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.
You can apply until 31 October 2021, exclusively using the button below. Kindly address your application to Andrey Bagrov. Please fill in the application form and attach the following documents:
- Letter of motivation.
- CV including a detailed section describing your research skills and experience and the contact details of two referees.
- Your Master's thesis (if you have already graduated).
The first round of interviews will take place on 14 November. You would preferably begin employment in March 2022.
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.
For questions about the position, please contact Andrey Bagrov, Assistant Professor at +46 720 08 85 50 or firstname.lastname@example.org.
Web site for additional job details
- You have obtained a MSc. degree in theoretical physics or computer science.
- You have good programming skills. Familiarity with machine learning is beneficial but not essential.
- You have experience with numerical methods (e.g. as part of an internship or hobby project). Experience with high performance computing is a plus, but not essential.
- You have a keen interest in quantum physics.
- You are proficient in written and spoken English.
EURAXESS offer ID: 683955
Posting organisation offer ID: 304330
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