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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.

Department Manager for Histology

We are seeking a dedicated Department Manager to lead our Histology department. The ideal candidate will possess proven leadership abilities and a passion for managing and developing teams, preferably with a background in Histology. 

The Histology department is committed to delivering high-quality histological data within all Gubra’s research areas, including MASH, obesity, metabolic and fibrotic disorders. Our growing team consists of 7 scientists and 5 laboratory technicians who work collaboratively across Gubra and provides valuable, decision-making data for customer studies as well as internal projects.

PhD scholarship in Behavioural Experiments with Tradable Credits for Mobility – The Green Token Project – DTU Management

DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission would like to invite applications for a 3-year PhD position starting no later than August 1st, 2024.

The successful applicant will work on research focused on the understanding of detailed individual behaviour under Tradable Credit Schemes (TCS) and the design of such systems for equitable emission management in multi-modal travel settings.

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

PhD Scholarship in AI for Electricity Markets - DTU Wind

If you would like to contribute to the green transition and digitalization of the energy system, this PhD position is right here in front of you. We offer a fully funded 3-year PhD position at DTU Wind and Energy Systems, where you will break new ground at the absolute forefront of renewable energy and AI research.

You will join the Energy Markets and Analytics (EMA) Section, in the Division for Power and Energy Systems (PES). The EMA Section has a strong multi-disciplinary research focus on energy markets, optimization, game theory, and machine learning.

Industrial PhD and Postdoc Positions in Machine Learning for Hearing Aid Systems

The projects will explore and design machine learning algorithms for processing potentially noisy sound signals in a hearing aid context, to increase speech intelligibility and sound quality, and to reduce listening effort.

The algorithms to be explored rely on hearing aid microphone signals, as well as additional multi-modal inputs, e.g., EEG/Ear-EEG, visual inputs, user body movements, and eye-tracking. We aim to develop algorithms which align with the user’s intent by continuously providing the sound signal of interest to the user.