Development Engineer - Mechatronics and Autonomous Labs for Power2X - DTU Energy

You will be involved in various research and development projects around automating and accelerating the discovery, synthesis, and characterization of new materials for Power2X and sustainable batteries.

The work will focus on the automation of the synthesis and characterization of the new materials, where the key focus is accelerating the traditional and manual processes that are slow and cumbersome.

Laborant til forskningslaboratorie – DTU Sundhedsteknologi

Er du uddannet laborant og har du lyst til at prøve kræfter i et forskningslaboratorie?

Vi søger en dygtig laborant til at indgå i vores DTU Sund Core Facility. Core Facility-gruppen består af otte forskellige core-områder inden for: flowcytometri og billedbehandling, cellekultur inklusive stamceller, mikrobiologi, molekylærbiologi, kemiske analyser, mekanik, elektronik og histologi.

I denne stilling vi du som udgangspunkt arbejde tæt sammen med en forskningsgruppe. Du vil du blive en vigtig del af forskningsarbejdet og have ansvar for en bred vifte af opgaver.

PhD scholarship in discovery of Kagome materials for magnetic catalysis - DTU Energy

The section for Autonomous Materials Discovery (AMD) at DTU Energy is looking for an outstanding candidate for a PhD scholarship within the field of in-silico materials design applied to discover new ways to optimize electrochemical reactions via tunable magnetism.

The successful candidate will break new ground in understanding of the complex multiphysics phenomena happening at the electrocatalytic interface under a magnetic field.

PhD scholarship in development of data infrastructure for energy applications - DTU Energy

The section for Autonomous Materials Discovery (AMD) at DTU Energy is looking for an outstanding candidate for a PhD scholarship within the field of data analytics applied to energy materials and devices with a strong link to atomistic simulations for the materials of the future.

The successful candidate will break new ground in developing a data infrastructure able to work with multi-source, multi-fidelity curated data from multi-scale models, AI, and robotic experiments.