Jobs at Technical University of Denmark (DTU)

Carry out a 3-year PhD developing a multi-fidelity framework for diagnosis and prognosis of fatigue in steel structures. Work includes multi-fidelity FEM, virtual sensing for load/stress estimation, fracture mechanics for crack initiation/growth and remaining life prediction, exploring fatigue mitigation, publishing results, presenting at conferences, teaching support, and co-supervising student projects.

Develop and validate RMS and EMT simulation models and frequency-domain models for a hybrid power plant (wind, PV, storage) using PowerFactory and PSCAD. Plan and use tests at Risø HPP for model validation, publish results, co-supervise student projects, and assist in teaching.

Develop and implement advanced finite element models for large-scale composite structures, write scientific code in MATLAB/Python, collect engineering/materials data via web scraping, build simple GUIs, document results, and contribute to publications and reports.

PhD position to research epitaxy and nanofabrication of III-V semiconductor emitters integrated into silicon nanocavities, enabling electrically driven nanolasers and nano-LEDs. Work involves semiconductor growth in 3D dielectric templates, low-dimensional gain materials, tailored doping, experiments in optical labs and cleanrooms, and collaboration across an interdisciplinary international research center.

Perform experimental research on measurement-device-independent quantum communication using entanglement-based sources: develop broadband entanglement sources, implement phase-locking and DSP, build and optimize high-rate MDI-CVQKD setups, publish results, present at conferences, and help supervise PhD students and collaborators.

Two fully funded 3-year PhD positions to research cross-border coordination for the Nordic power system. Projects focus on coordinated cross-border capacity allocation and cooperative reserve sizing using stochastic optimization, machine learning, decision-focused learning, game theory, and federated forecasting. Work includes close collaboration with Energinet and Nordic RCC, publishing, and practical validation. Candidates will be based at DTU Wind in the Energy Markets & Analytics section and participate in team activities, external visits, and engagement with industrial partners.

Develop and implement diamond-based, high-resolution magnetic microscopes using NV centers to image faint magnetic fields in biological tissue and integrated circuits. Tasks include designing optical setups, coherent spin control, electronics and hardware control, data acquisition/processing, and collaboration with industry and neuroscience researchers. Supervise students and publish high-quality research.

Conduct research on reliable, sustainable, and self-adaptive AI for embedded, edge, and distributed systems. Develop models and runtime mechanisms for uncertainty, reliability, and resource management. Build prototypes on embedded and edge platforms, publish results, and supervise MSc/PhD students while collaborating with academic and industry partners.

Lead a transdisciplinary PhD project on microbial ecology of traditional coffee fermentation. Design and run metagenomic, metabolomic and sensory experiments, perform bioinformatic and statistical analyses, integrate data with ethnographic research, publish results, present at conferences, and coordinate with international collaborators and local partners.

Perform experimental aeroacoustics development for wind turbines: plan and run wind tunnel and full-scale tests, develop and validate microphone-array acoustic measurement techniques (beamforming, deconvolution), analyse signals, maintain and develop measurement setups, and collaborate with national and international industry partners.

Fully funded 3-year PhD to develop causal-informed ML methods for multi-seasonal Arctic sea-ice prediction using datasets (CMIP6, ERA5, CARRA2), collaborating with meteorological institutes, implementing models in Python on HPC and producing probabilistic forecasts for 2030–2050.

Experimental PhD project to synthesise and characterise K-ion solid-state electrolytes, assemble and test K-S solid-state cells, study interfacial stability and self-healing behavior, collaborate with computational partners, and publish results.

Lead a PhD project developing a local caffeine-free coffee alternative using fermentation. Plan and run experiments, perform metagenomic and metabolomic analyses, bioinformatics and statistical integration, sensory and safety assessment, prototype development with genome-scale metabolic models, publish findings, and collaborate across disciplines.

Two postdoctoral researchers will develop AI-based perception and autonomous navigation for agricultural robots, focusing on multi-modal 3D scene understanding, sensor fusion, embodied AI, and robust field perception. Tasks include implementing real-time algorithms on edge devices, publishing in top venues, mentoring students, and validating systems in field experiments.

PhD project linking epigenetic regulation, genome dynamics, and adaptive evolution in Aspergillus using genetic engineering, adaptive laboratory evolution, and multi-omics. Responsibilities include experiment design and execution, data generation and analysis, collaboration with international partners, publishing and presenting results, and developing starter cultures for food fermentation applications.

Lead spatial economics research using Danish register data, develop fine-scale neighbourhood definitions for causal identification, publish high-quality papers, provide policy advice to public and private stakeholders, support division register-data modelling, secure external funding, and mentor/collaborate within the research section.

Establish lab infrastructure and human-experiment workflows, design and prototype wireless embedded systems for high-density EMG, implement data acquisition and processing pipelines, integrate firmware/hardware/software, validate systems in human experiments, and produce documentation and training materials.

Faculty position to conduct internationally excellent research and teach across DTU Entrepreneurship programs. Responsibilities include research on deep tech entrepreneurship, innovation ecosystems, commercialization, entrepreneurial finance, and engineering education; developing teaching and curricula, publishing, securing external research funding, and contributing to institutional leadership and industry collaboration.

Lead design and development of UHV-based experimental platforms for atomic-scale surface characterization and catalysis, integrating STM/XPS/AES/TPD with catalytic activity measurements. Build quantitative structure–function relationships for P2X materials, teach and supervise students, collaborate across DTU and the CAPeX center, and engage with academic and industrial partners to advance sustainable energy conversion research.

Conduct an independent PhD research project studying technology implementation and transitions to structured innovation in Danish SMEs. Design and evaluate practice-based toolsets, collect and analyze empirical data (qualitative and/or quantitative), publish findings, and contribute to teaching, supervision, and course development while collaborating with DTU colleagues and industry partners.