Postdoc: Sustainability Modelling of Complex Manufacturing Systems | https://www.linkedin.com/posts/ramanujand_dpp-postdoc-jobs-activity-7269228871604981760-E0JU?utm_source=share&utm_medium=member_desktop |
Postdoc: Uncertainty Quantification and Stochastic Optimization | https://www.linkedin.com/jobs/view/4074976346/ |
PhD: Competitive and sustainable production of low-criticality rare earth permanent magnets with tunable material properties | https://mpe.au.dk/forskning/forsknings-og-udviklingsomraader/design-and-manufacturing-mekanik-og-produktion-technical-sciences-aarhus-universitet/research-groups-of-design-and-manufacturing/reliability-modelling-and-optimization-group/join-us/industrial-phd-dec-2024 |
FULLY FUNDED POSITIONS
Calls for fully funded PhD & postdoc positions in the LCDM research group are always posted on the MPE Department Vacancies page
SELF-FUNDED POSITIONS & FUNDING APPLICATIONS
Please contact Prof. Ramanujan (devr@mpe.au.dk) if you are interested in pursing a PhD or postdoctoral fellowship in the LCDM research group and are,
GUEST & VISITING RESEARCHERS
All PhD and postdoctoral researchers intending to collaborate with the LCDM research group are welcome! Please contact Prof. Ramanujan (devr@mpe.au.dk) for further details.
Please contact Prof. Ramanujan (devr@mpe.au.dk) if you are looking for an MSc. thesis or an R&D project. It is highly recommended that interested MSc. thesis students enroll for an R&D project related to the thesis topic prior to the final thesis semester.
If you are a BSc. & BEng. student interested in a thesis (or project) related to the broad area of engineering design & manufacturing, reach out to Prof. Ramanujan (devr@mpe.au.dk).
Summer internships in the LCDM research group are hosted in the Makerspace Lab. Students will have the opportunity to work on exiciting projects with a wide range of digital manufacturing and measurement tools in the laboratory. We are specifically looking for students willing to build skills in manufacturing engineering, sustainable design & manufacturing, human-machine collaboration, process monitoring & control, and other related areas.