6 Jobs found

The Department of Food Science, Aarhus University, Denmark, invites applications at the Tenure Track Assistant Professor level within the area of food structure and processing.  We are looking for a successful candidate with a strong research profile  on linking food structure studies in complex food materials with processing in relevant environments and properties of food products,  who would like to work with a highly engaged and motivated team in the areas of food technology and chemistry,  in an innovative and dynamic working environment. The position is available from September 1, 2025 or as soon as possible thereafter.The positionWe are specifically interested in a candidate, who has expertise in the cross-field between food chemistry,  food physics and processing, who can apply adva...

The Department of Food Science, Aarhus University, Denmark, invites applications for a Tenure Track Assistant Professor position within sustainable food chemistry, food waste valorization, and biobased materials. We are looking for a candidate with a strong research profile in green chemistry, biomass valorization, catalysis, and food material science, particularly within the transformation of food by-products and waste streams into functional food ingredients and high-value compounds and materials. The successful applicant will join a highly engaged and motivated team in an innovative and dynamic research environment. The position is available from September 1st 2025, or as soon as possible thereafter.The PositionWe are specifically interested in a candidate with expertise in the cross-fi...

Department of Mechanical and Production Engineering (MPE) of Aarhus University invites applications for a 1.5 year Postdoctoral Researcher position in the field of Digitalization of Metal Additive Manufacturing (MAM) and CO2 Impact Analysis. This position is part of the REFUMA project (REmanufacturing by reFUrbished hybrid MAchinery), which focuses on demonstrating and advancing hybrid manufacturing techniques for refurbishing industrial equipment and extending the life cycle of metal components. Expected start date and duration of employmentThis is a 1.5–year position from June 1, 2025, or as soon possible. Job descriptionDenmark faces an urgent challenge: maintaining industrial production while aligning with the green transition. This requires rethinking products, processes, and adaptabi...

Har du analytiske evner, og kan du selvstændigt understøtte og samarbejde effektivt med en ledergruppe? Kan du sikre implementeringen af beslutninger? Har du erfaring med at drive og facilitere udviklingsprojekter og interesse for uddannelsessektoren? Så er du måske den ledelsespartner, vi søger.Om stillingenVIA Sygeplejerskeuddannelsen er dedikeret til kontinuerlig udvikling og sikring af uddannelsens kvalitet på tværs af vores syv udbudssteder.Som ledelsespartner vil du i tæt samarbejde med en anden AC-medarbejder strategisk og administrativt understøtte uddannelsesdekanen for VIA Sygeplejerskeuddannelsen i ledelse og udvikling af uddannelsen. Du vil arbejde tæt sammen med både den samlede ledelsesgruppe, bestående af uddannelsesdekanen og seks uddannelsesledere, samt nøglemedarbejdere t...

Are you interested to have an impact on how data-intensive experimental science is done?A fully funded 2-year postdoctoral positions is available in an interdisciplinary project at the departments of  and  at Aarhus University (AU). The position is part of a DFF grant that aims to develop machine learning methods for discerning and learning the constituent states of a fluctuating quantum material with high quality via Angle-Resolved Photoemission Spectroscopy (ARPES).The project aspires to carry on with a long tradition, in which experimental physics has relied on, and has often acted as a driving force for computer science to initiate research towards in complex analytical tasks via unsupervised ML, allowing for an understanding of measurements at simultaneously high spatial and temporal ...

Are you passionate about solid mechanics and intrigued by machine learning? We are seeking a qualified candidate who can merge expertise from both fields to develop innovative tools for analyzing deformation and fracture in solid materials.Expected start date and duration of employmentThis is a 1-year position starting on 15 August 2025 or as soon possible thereafter.Job descriptionPhysics-informed machine learning is emerging as a promising avenue for solving problems in physics and engineering. Particularly, physics-informed neural networks (PINNs) have shown remarkable potential to solve problems governed by differential equations while accounting for measured experimental data. While a strong limitation of PINNs was their low speed, recent research has shown that efficiency and accurac...