MedUni Vienna - Call for PhD students, specifically including physicists
The Medical University of Vienna invites applications for all currently open PhD positions in its 18 PhD programs. We encourage ambitious and creative young scientists, who are interested in research in the areas of human-centered technologies and sciences, with an M.Sc. or equivalent degree in Physics, (Bio) Engineering, (Bio)Informatics, Cell/Molecular/RNA Biology, Biochemistry, Genetics, Neurology, Translational Medicine or a related field to develop their original research project with the support of our renowned and international scientist.
The Medical University of Vienna (briefly: MedUni Vienna) is today the largest international medical training institute in the German speaking area with about 8.000 students. Within its 30 university hospital departments, two clinical institutes, 12 theoretical medicine centers and numerous highly specialized laboratories, it is included among the most important cutting-edge research institutes of Europe in the area of biomedicine and biotechnology.
We offer 24 fully funded Ph.D. positions in one of the most livable cities in the world - Vienna! Our university is a leader in transnational medical science and has an excellent infrastructure that invites you to do research and network with your peers. Last but not least, our university is home to a dynamic international research community that is constantly growing. Austria as a research location also offers young scientists many opportunities after graduation.As a PhD student, you become part of our university staff and as such are fully entitled to salary, health insurance, and benefit from wellness and continuing education opportunities that we offer to our employees. EU citizens do not have to pay tuition fees for their Ph.D. studies at our university. The ÖH fee of rd EUR 25 is the only fee charged per semester. There are tuition fee waiver schemes for non-EU citizens that make doctoral education at our university very affordable. For more information about our Ph.D. programs, Ph.D. student life, salaries and tuition fees, please visit our website (www.meduniwien.ac.at)
Application deadline: 20.11.2022
How to appy: Use the online application tool please
Any questions? Email us at email@example.com
TU Graz - PhD student or PostDoc
We are looking for a university project assistant:
Researcher – PhD or PostDoc position (m/f/d)
at the intersection of Physics and Computer Science
Institute of Theoretical Physics and Computational Physics, Graz University of Technology and Graz Center for Machine Learning
Recent advances in Machine Learning have shown considerable impact on technology and society, and show promise also in physics. On the one hand, machine learning is being used to learn surrogate models of computationally heavy simulations in order to employ them for many-query applications such as optimization and uncertainty quantification. On the other hand, physical models have transpired to machine learning for decades. This position is to be involved in a project at the cross-fertilization of machine learning and physics. In particular, a newly discovered connection  between differential equations and neural networks opens the path to explore a novel class of physics-based architectures. E.g. a so designed machine could learn solutions to the Schrödinger equation, a central differential equation governing quantum mechanics.
 Ranftl, S. “A connection between probability, physics and neural networks”. Proceedings of MaxEnt 2022 Paris. Physical Sciences Forum. In Press. arXiv: https://arxiv.org/abs/2209.12737
Contribute to an interdisciplinary research project at the intersection of physics and machine learning
Research, mathematical and numerical computations, programming
Disseminate results (e.g. contribute to scientific reports, presentation at international conferences etc.)
Cooperation with both computer scientists and physicists
NO teaching responsibilities required
Background: Master in physics, computer science, mathematics, or similar.
Applicants near graduation will be considered.
Specific interest in the intersection of machine learning and (theoretical) physics
Knowledge in one of the following fields and willingness to learn about the remaining topics:
Machine learning, probability theory, optimization, differential equations, theoretical physics
Programming skills: Python or similar preferred, experience with PyTorch, JAX, TF or similar desired
Fast learner, creative, engaged and scientifically ambitious
What we offer:
Extensive, cooperative mentoring on an individual basis at eye level
Collegial working atmosphere, highly international and interdisciplinary scientific environment
Training in complementary fields (i.e. physics for computer scientists, machine learning for physicists)
State-of-the-art facilities and science support service units, e.g. high-performance computing clusters
Possibility of extension to a PhD thesis
Option for Home Office / Tele-working
Flexible working hours
The minimum annual gross salary is € 42.820,40 based on a full-time PhD-position. Overpayment is possible depending on qualification and expertise. Post-docs are also welcome to apply (salary & responsibilities will be accommodated accordingly)
Additional corporate benefits such as university sports program, workplace health management, subsidies for public transport, international and in-house soft skill training opportunities, child-care facilities, and more
Start date and duration: January 2023. This is a temporary position of up to 40h/week for up to 12 months,
with a possible extension for another 2-3 years depending on performance.
Graz University of Technology aims to increase the proportion of women and therefore qualified female applicants are explicitly encouraged to apply. Graz University of Technology actively promotes diversity and equal opportunities. People with disabilities and who have the relevant qualifications are expressly invited to apply. Protecting the health of our students and employees is of high importance to our university. For this reason, equally qualified candidates who are fully vaccinated against COVID-19 will be given preference
To apply, please prepare your CV, motivation letter emphasizing your research experience and research interests, references, further documents. Applications will be considered on a rolling basis until position is filled.
Please send your applications and/or inquiries for further information, using the subject header “[Application UFO 2022 – Your last name]”, to firstname.lastname@example.org
DI Dr. Sascha Ranftl
Institute of Theoretical Physics & Computational Physics
Graz University of Technology
Petersgasse 16/II, 8010 Graz
Information on the data processing of your application can be found at www.tugraz.at/go/datenschutzinformation-pa.
Job opening from TU Graz