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PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.

PhD scholarship: Computational Prediction of Nuclear Fission Products Behavior in a Molten Salt Reactor – DTU Chemistry

A 3-year PhD scholarship concerned with the use of computer simulation for predicting fission products (FP) behavior – such as solubility – in a Molten Salt Reactor (MSR) is available.

In the SolveMSR project – funded by the Independent Research Fund Denmark – we will work towards creating a computational framework for predicting FP behavior in the fuel salt matrix of MSRs. We will benchmark the framework against experimental data.

PhD Scholarships (2) in Cyber-Security and Cyber-Deception – DTU Compute

The two positions are part of the project Loki: Situational aware collaborative bio-inspired cyber-deception.

This project, inspired by Norse mythology, with Loki being a shape-shifter god and a master of trickery, aims at redefining and evolving the emerging field of cyber-deception. Here, we attempt to deceive attackers by creating fake vulnerable systems that are aware of their surroundings and are constantly shifting.

The project takes inspiration from nature (e.g., from the mimicry phenomenon) to synthesize sophisticated deception.

PhD-Scholarship in Network Optimisation for Connected, Cooperative and Automated Mobility (CCAM) Development – DTU Management

DTU Management’s Transportation Systems Modelling section would like to invite applications for a 3-year PhD position starting on 1 October 2024 or earlier.

The candidate will contribute to the CulturalRoad project, funded by the European Commission.

Your primary tasks will be:

• Develop mathematical modelling and solution algorithms for routing and scheduling passenger transport using CCAM fleets
• Advance multimodal traffic assignment models to consider transport equity and multimodality
• Propose and investigate the use of semi-personalized travel incentives for improving public transport

Underdirektør med ansvar for udvikling til komplekst it-program

Har du erfaring med arbejdet og beslutningsprocesserne i en stor, politisk styret organisation med mange interessenter? Har du evnerne til at sikre fremdriften for den tekniske udvikling af det nye ejendomsvurderingssystem?

Som den ene af fire underdirektører i Implementeringscenter for Ejendomsvurderinger (ICE) får du en dagligdag i spændingsfeltet mellem strategi, forretning, it-udvikling og implementering – med hovedvægt på it-udviklingsdelen. Du skal tage del i at lede og drive det store og komplekse it-program, der skal sikre automatiske og retvisende ejendomsvurderinger for borgere i hele Danmark.

PhD scholarship in Cryptography – DTU Compute

We are looking for a bright, ambitious, and motivated PhD student to join the cryptography group in the Cybersecurity Engineering Section.

The goal of the PhD project is to improve the state of threshold post-quantum cryptography.

Your main task will be to design new threshold cryptographic algorithms with post-quantum security.

Postdoctoral positions in Sustainability, Genomics, Microbiology, and Bioinformatics/Data Science - DTU Biosustain

DTU Biosustain is actively seeking candidates for postdoctoral roles in fields such as sustainability, genomics, microbiology, and bioinformatics/data science.

We welcome applications from researchers in these or related fields, especially those focusing on large-scale data integration using advanced technologies (e.g., long-read, single-cell, microscopy, metabolic) for sustainable food and agricultural production.