PhD scholarship in Deep Learning Theory and Differential Geometry - DTU Compute

Do you want to contribute to the understanding of modern deep learning by leveraging principles from differential geometry?

As our new PhD student, you will study modern deep learning approaches and develop a theoretical understanding potentially based on differential geometry.

The goal of this project is to investigate these concepts potentially based on differential geometry, providing a new theoretical framework and developing practical methodologies accordingly.

PhD scholarship in decision trees for stochastic optimization problems - DTU Management

The Department of Technology, Management and Economics at DTU invites applications for a PhD student position on the topic of using AI to reduce stochastic problems.

You will be responsible for developing new methods for decision support in stochastic optimization, using AI and advanced metaheuristics. Furthermore you should (together with the team) participate in development of solvers for stochastic optimization problems, and test the methods on real-life data.

Integrationsudviklere søges til ambitiøst Integrationsteam – IT Service

DTU har et utal af data, som bruges og deles af i størrelsesordenen 400 forskellige systemer/applikationer. Opgaven for Integrationsteamet, som lige nu tæller 12 personer, er at kategorisere, samle, udstille og integrere til disse data - og derved skabe et sammenhængende integrationslandskab på DTU.

Teknologistakken er lige nu primært TimeXtender, MS SQL Server, MS SSIS og .Net kode - og det billede forventes at skifte over tid.

PhD scholarship - Understanding Mobility Cultures Across Europe using Machine Learning and Big Data - DTU Management

The Transportation Science Division at the Technical University of Denmark (DTU) invites applications for a 3-year PhD position at the intersection of Social Data Science and Computer Science.

This PhD project aims to map and analyse how mobility cultures vary across Europe and how they evolve over time in response to policy and technological changes.

Analytics Engineer - DTU Food

The National Food Institute at the Technical University of Denmark (DTU) invites applications for a position as Analytics Engineer in the Research Group on Nutrition, Sustainability and Health Promotion.

Primary areas of responsibility are to support the integration of computational workflows, interactive environments, and data pipelines within research projects (including complex population surveys and randomized trials).

Lead Data Analyst - DTU Food

The National Food Institute at the Technical University of Denmark (DTU) invites applications for a position as Lead Data Analyst in the Research Group on Nutrition, Sustainability and Health Promotion.

Primary areas of responsibility are working at the intersection of data interpretation and insights, ensuring that research findings are supported by well-structured data analysis.

PhD position in Science and Technology Studies (STS) with a special focus on Computational Ethnography for Inclusive and Sustainable Mobility - DTU Management

If you wish to pursue a research career within Science & Technology Studies (STS) and computational ethnographic methods developing your expertise within intelligent and inclusive transportation, you may consider applying for this PhD position.

You will work with a combination of computational methods, ethnographic fieldwork, and the Urban Belonging photo voice app for mobile ethnography, experimenting with large language models to model synthetic informants.

Konsulent til monitering, datahåndtering og analyse - DTU Aqua

Er du interesseret i det kystnære havmiljø og har flair for datahåndtering og dataanalyse med en vision for fremtidens monitering, er stillingen som konsulent i dataanalyse og monitering måske noget for dig.

Du vil indgå i vores team af biologer og forskere, der arbejder med marin naturgenopretning, opdræt af lavtrofiske arter muslinger og tang samt fiskeri.

PhD scholarship in AI and Computer Vision for Automated Fisheries Monitoring - DTU Aqua

We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification of species from Electronic Monitoring (EM) systems onboard commercial fishing vessels.

The successful candidate will contribute to cutting-edge research in automated fisheries monitoring, supporting sustainable fisheries management and compliance efforts.