PhD position in metalloprotease modulation at the Protein Design and Function Lab, DTU Bioengineering. Join a highly motivated team of researchers and students working on the design of precision molecular tools to modulate metalloproteases, using snake venom metalloproteases (SVMP’s) as case proteins.
PhD in scientific machine learning focused on physics‑informed models. Work with unique synchrotron imaging data and simulations to predict metal behavior. Join a leading, international team at DTU working at the forefront of materials physics.
DTU Space invites applications for a 3-year PhD position in a new Dark Matter Group. The position is part of the research project “Decoding Dark Matter with Stellar Streams Beyond the Milky Way”.
This project will develop and test new methods for data-efficient, open-loop optimisation of fermentation processes, building on recent theoretical developments in optimal control theory, reinforcement learning and numerical methods as well as laboratory analytics and automation.
Are you passionate about AI, risk assessment, and climate-smart maritime solutions? This is your opportunity to make a real impact through cutting-edge methods bridging regulatory compliance, dynamic risk analysis, and reinforcement learning, shaping the future of safe and sustainable shipping.
Is your phone battery running out? Do you want to make a battery that lasts for a week without recharging? This PhD position might just be for you where we will make a fully inorganic solid-state battery with ceramics with high energy density. The solid battery will both be safer and last longer.
Develop risk-based maintenance models for wind turbines by combining structural analysis, SHM and SCADA data into digital-twin tools. The project optimises inspection planning and validates results with industrial partners.
Develop uncertainty-quantification and technology-qualification methods for advanced wind turbine components using statistical and machine-learning models. The project assesses material, loading, and environmental variability to support safer, reliable next-generation designs.
A fully funded 3-year PhD position is available at DTU Aqua, within the NOW-LUMP project. The PhD project will generate new knowledge on how selected environmental factors drive performance and survival of lumpsucker, helping to understand the mechanisms behind their population decline and resilience to climate change.
If you are interested in the effects of dissolved carbon dioxide on fish in aquaculture and want to explore methods to remove it from water, this PhD position could be a great opportunity for you.
DTU Engineering Technology offers a 3-year PhD position on soft architected materials (AM). The project aims to examine the instability-driven large deformation behavior of AM, through experiments on programmed microstructures and computational tools for automated structure-property correlation.
The FrameBio PhD candidate will address a key knowledge gap by systematically quantifying the economic, environmental, and social sustainability performance of feedstocks for Single Cell Proteins production.
The FrameBio PhD candidate will address a key knowledge gap by systematically quantifying the economic, environmental, and social sustainability performance of alternative protein products based-on biotechnological conversion processes.
Become part of RhizoTrack and investigate how microbes locate and colonize plant roots. Using microfluidics and molecular ecology, you will help uncover mechanisms that can guide future biosolutions for sustainable and resilient plant production.
This PhD offers a unique opportunity to conduct theoretical research at the intersection of photonics, topological physics, and symmetry analysis. By leveraging deep connections between these fields, this project aims to uncover new fundamental phenomena and design principles.
Join BUG-ID consortium at BRIGHT via 4 PhD projects: proteomics of infection models (DC2, DC3) and modelling/engineering of bioreceptors for graphene sensors (DC12, DC13). Work in a collaborative EU network linking biology and nanotechnology.
Join a PhD project on adaptive control of power electronic converters. Develop embedded machine learning solutions for real-time grid impedance estimation using FPGAs. Collaborate with top researchers, gain international experience, and drive the green energy transition.
Would you like to investigate how molecular systems behave on the fundamental level at the atto- to picosecond timescale? Are you passionate about chemical theory and computation? Then, this PhD opportunity in a vibrant theoretical chemistry environment at DTU might be a perfect fit for you.
PhD scholarship exploring how Generative AI reshapes writing, learning, and education in STEM. The project examines changing student and institutional perceptions and practices as AI tools like chatbots and AI-tutors reconfigure what it means to read, write and learn. Qualitative research focus.
The Machine Learning in Photonic Systems group at DTU Electro at the Technical University of Denmark is seeking a candidate for a PhD position to research multiplexing in photonic integrated circuits for enhancing computing efficiency through parallelism.
The Machine Learning in Photonic Systems group at DTU Electro at the Technical University of Denmark is seeking a candidate for a PhD position to research multiplexing in photonic integrated circuits for enhancing computing efficiency through parallelism.
