| Stilling | PhD scholarship in Scientific Machine Learning in Materials Physics - DTU Physics |
| Opslået | 02 Mar 2026 |
| Udløbet | 01 Apr 2026 |
| Virksomhed | DTU |
| Lokation | Danmark | DK |
| Jobtype | Full Time |
Seneste jobinformation fra DTU til stillingen som PhD scholarship in Scientific Machine Learning in Materials Physics - DTU Physics. If the PhD scholarship in Scientific Machine Learning in Materials Physics - DTU Physics ledige stilling i Danmark matcher dine kvalifikationer, bedes du indsende din ansøgning eller dit CV direkte gennem den opdaterede Jobkos jobportal.
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Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this Stilling might be perfect for you. We are seeking a data scientist to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions.
Om osYou will join an international and highly multidisciplinary team of approximately 10 PhDs and postdocs, fostering strong collaboration between DTU Physics and DTU Construct Our group is a global leader in metals research. We invented the synchrotron-based imaging technique Dark-Field X-ray Microscopy, installed at the European Synchrotron Radiation Facility in Frankrig, and use it to visualize the evolution of internal structures in metals during deformation to understand how metals become strong and eventually break. We collaborate with leading international groups on modeling and conduct simulations at DTU.
ResponsibilitiesExperience with materials science or synchrotron techniques is beneficial but not required. You must have a two‑year master’s degree (120 ECTS points) or an equivalent level.
Application ProcedureYour complete online application must be submitted no later than 28 February 2026 (23:59 Danish time). Applications must be submitted as one PDF file in English containing the following materials:
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment with a period of employment of three years, starting 1 May 2026.
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