Jobs at Technical University of Denmark (DTU)

Conduct PhD research on adaptive control algorithms for demand-side energy flexibility. Develop demand response models, parameter-adaptive model predictive control algorithms, and optimal market-bidding strategies. The role includes theoretical and practical algorithm development, research dissemination, conference participation, scientific writing, and co-supervision of student projects. Teaching contributions will involve stochastic adaptive control and advanced time series analysis.

PhD researcher will develop cohesive zone models for crack growth in composite and damage-tolerant materials using finite element modelling and experimental testing. Responsibilities include implementing mixed-mode traction-separation laws in ABAQUS, conducting fracture mechanics laboratory tests, comparing simulations with experimental results, investigating microscale damage using AE, SEM, and X-ray tomography, and co-supervising student projects.

Conduct PhD research on AI-augmented Systems Engineering by designing and validating an AI assistant that creates and reasons over machine-readable SysML 2.0 models. Responsibilities include developing AI methods and model harnesses, formalizing engineering knowledge, evaluating solutions with industry partners, using local AI infrastructure, publishing research, teaching, supervising students, and helping establish a new research lab. A two-year master's degree or equivalent is required.

Conduct computational research to design unconventional photoactive molecules with targeted photophysical properties. Develop quantum chemistry workflows for excited-state modeling and use high-throughput screening, machine learning, and evolutionary algorithms to search chemical space. The work targets applications in OLEDs, photovoltaics, bioimaging, and photodynamic therapies. The position is a three-year PhD scholarship requiring a relevant master’s degree, computational chemistry experience, Python knowledge, and HPC experience.

Conduct PhD research on AI-driven optimization of nano-laser-based optical links. Develop reinforcement learning, gradient-based learning, signal pre-distortion, pulse-shaping, and physics-informed neural network methods to improve spectral and power efficiency. Build physical and data-driven laser models, implement fiber-optic transmission systems, conduct experiments in practical testbeds, maintain research code on GitHub, and coordinate experiments with collaborators.

Conduct PhD research on interface management and systems engineering for complex, multi-company engineering projects. Develop and validate frameworks for coordinating subsystem interfaces, modularity, and lifecycle adaptability across distributed naval shipbuilding programmes. Responsibilities include literature reviews, mapping industry practice, industrial case studies, collaboration with academic and organisational partners, and publication of research findings. The role requires independent research, strong analytical and communication skills, and an applicable two-year master’s degree.

Conduct experimental research in ultrafast nonlinear optics using gas-filled hollow-core fiber platforms. Develop high-power near-infrared ultrafast laser sources and gas-filled fiber systems for fundamental studies and emerging photonic applications. Work independently and creatively in the GasLab while maintaining an organized and safe research environment. The position includes PhD enrollment, collaboration, mentoring, and preparation of research materials.

Conduct PhD research using molecular nutrition and strain engineering to improve the protein bioavailability, essential amino acids, vitamins, and digestibility of Aspergillus and Yarrowia microbial foods. Design and test engineered strains, collaborate on protein chemistry and in vitro digestion studies, assess nutritional outcomes, and contribute to predictive models connecting strain and process design with food quality.

Conduct experimental research on the transgenerational effects of PFAS on blue mussel larvae. Responsibilities include testing individual compounds and mixtures, assessing adult pre-exposure and offspring sensitivity, comparing populations from differently polluted areas, and examining climate effects through experiments in Denmark, Greenland, and Spain. The role combines ecotoxicology, physiology, and marine ecology and requires independent research, collaboration, communication, and extended international research stays.

Conduct research and develop open-source electronic design automation tools, including hardware generators and functional verification frameworks in Scala or Java. Integrate the work into the ODE4EV-PIV project, co-supervise students, and optionally contribute to teaching. Applicants must hold or be completing a two-year master's degree in computer science, computer engineering, electrical engineering, or an equivalent field.

Conduct PhD research developing coupled thermofluid, electromagnetic, and rotordynamic models for bearingless pumps. Quantify flow-induced forces, model loss mechanisms and thermal interactions, assess thermal effects, validate simulations experimentally and against literature, and publish findings. The role also includes collaboration with DTU, the University of Queensland, and Danfoss, potential prototype testing, and teaching or supervising student projects.

Conduct a three-year PhD project on regenerative global agricultural supply chains, combining literature research, qualitative empirical fieldwork, and data collection in Denmark and Kenya. The role includes academic coursework, teaching, professional development, scholarly writing, and collaboration with DTU and University of Nairobi researchers. The candidate will investigate how supply chains can generate positive environmental and social impacts through regenerative principles and community-based organization.

Conduct a fully funded three-year PhD developing computer vision, deep learning, generative AI, and multimodal models for visual dialogue and human-AI interaction. Responsibilities include building datasets, training and evaluating models, publishing and presenting research at leading conferences, collaborating internationally, spending a few months abroad, and supporting teaching as a teaching assistant at DTU.

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.

PhD research using state-of-the-art operando atomic-resolution TEM to observe catalytic materials in real time. Tasks include low-dose TEM imaging, spectroscopy, microreactor fabrication, Python-based analysis of time-resolved datasets, collaboration with computational groups, and publishing results.

Conduct research on carbon-aware, resource-efficient AI for edge datacentres by developing hardware-aware multi-objective neural architecture search across CPUs, GPUs and accelerators; deliver a NAS framework producing Pareto-optimal model libraries, publish results, participate in teaching, industrial secondments, and collaborate with academic and industry partners.

PhD research on reliable, sustainable, and self-adaptive AI for embedded, edge, and distributed systems. Develop models and runtime mechanisms to characterize and control uncertainty, build prototypes on resource-constrained devices, experimentally validate solutions, publish results, and contribute to teaching and collaboration with academic and industry partners.