PhD Candidate in Computational Many-Body Quantum Physics
Employment: 0.8 - 1.0 FTE
Gross monthly salary: € 2,434 - € 3,111
Faculty of Science
Required background: Research University Degree
Application deadline: 31 October 2021
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
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).
You have obtained a MSc. degree in theoretical physics or computer
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.
The position is available at the Theory of Condensed Matter of the Institute
for Molecules and Materials (IMM) at the Faculty of Science (FNWI). The
group's research aims are to predict and explain the properties of condensed
matter, ranging from structural and dynamical properties of atomic lattices to
topological and interaction phenomena of electrons. To this end, we utilise
and develop advanced mathematical frameworks and state-of-the-art numerical
approaches including quantum field theory descriptions, machine learning
algorithms, ab initio calculations, and their combinations.
IMM is a research institute in chemistry and physics that promotes
interdisciplinary research. Its mission is to design and create functional
molecules and materials to fundamentally understand their behaviour. IMM
consists of 24 research groups active in fields ranging from condensed matter
physics to organic chemistry and biochemistry. It focuses on fundamental
research with an open eye to societal applications and trains the next
generation of leaders in science and innovation. You will have the opportunity
to interact with researchers at IMM and participate in institute-wide
The Faculty of Science is a complete, student-oriented science faculty where
research and teaching are closely intertwined. The faculty aims to be an
academic community with an international character where employees from
different backgrounds combine their talents with the goal of being a leading
science faculty in Europe.
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!
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
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.
Would you like more information?
For questions about the position, please contact Andrey Bagrov, Assistant
Professor at +46 720 08 85 50 or email@example.com.
Practical information and applications
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 2021. 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
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