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20 Fully Funded PhD Programs at Technical University of Denmark, Denmark

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Are you holding Master’s degree and looking for fully funded PhD positions? Technical University of Denmark, Denmark invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in Integrated 2D Optical Phased Array for Solid-State Beam Steering

Summary of PhD Program:

Light Detection and Ranging (LiDAR) is a 3D sensing technology based on laser light to measure the distance between the object and the sensor that holds great promise for allowing autonomous machines to see and navigate the world with very high precision. Typically, LiDAR designs comprise a multitude of moving parts (e.g., an assembly of lasers, optics, electronics, and detectors) on a mechanically rotating stage. The need to assemble and align all these parts leads to high costs and relatively low manufacturing volumes, while the wear and tear on the mechanical components limits long-term reliability, and all these factors have been hindering a wide adoption of this technology.

Application Deadline: 15 November 2023

Apply now

2. Fully Funded PhD Position in Integrated 1D Optical Phased Array for Solid-State Beam Steering

Summary of PhD Program:

Light Detection and Ranging (LiDAR) is a 3D sensing technology based on laser light to measure the distance between the object and the sensor that holds great promise for allowing autonomous machines to see and navigate the world with very high precision. Typically, LiDAR designs comprise a multitude of moving parts (e.g., an assembly of lasers, optics, electronics, and detectors) on a mechanically rotating stage. The need to assemble and align all these parts leads to high costs and relatively low manufacturing volumes, while the wear and tear on the mechanical components limits long-term reliability, and all these factors have been hindering a wide adoption of this technology. To solve these problems, one of the big trends that industry is witnessing is the drive to higher levels of integration enabled by semiconductor technologies, and the move away from discrete and mechanical components.

Application Deadline: 15 November 2023

Apply now

 

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3. Fully Funded PhD Position in Novel wind lidar configurations for wind energy applications

Summary of PhD Program:

If you are hoping for a career in industrial R&D or academia where you can contribute to the production of low carbon energy and explore laser-based atmospheric measurement techniques for wind energy applications, then this subject may interest you. We need a candidate for a 3-year PhD project about “Novel wind lidar configurations for wind energy applications”. It is an industrial doctorate where you will be employed 50% of the time at DTU Wind and Energy Systems in Denmark and 50 % of the time at the lidar remote sensing company Lumibird in France.

Application Deadline: Open until filled

Apply now

 

4. Fully Funded PhD Position in Energy Efficient 5G/6G Comminucations

Summary of PhD Program:

DTU Electro is looking for a highly motivated PhD student to join our research team. In this role, you’ll apply your expertise to cutting-edge technologies while addressing climate challenges in the digital age. By joining us, you’ll gain insights into the evolution of wireless networks and work on solutions that can reshape how we connect, communicate, and innovate. As our new PhD student you’ll have access to state of the art resources and guidance from top experts in the field. You’ll also collaborate on exciting projects that have the potential to shape the future of global connectivity. As our new colleague you will be part of a diverse team, where we value collaboration, innovation, and mutual respect, fostering a culture of trust and open communication.

Application Deadline: 31 December 2023

Apply now

 

5. Fully Funded PhD Position in Deterministic and Secure 5G Communication

Summary of PhD Program:

As a PhD student, you’ll work closely with experienced researchers, gaining hands-on insights into the latest developments. This program goes beyond academic pursuits; it’s your chance to actively address real-world challenges in mobile communications. Your focus on security and reliability will contribute to the development of communication systems that are not only innovative but also deployable. Join us to gain valuable skills and become a knowledgeable professional in the dynamic field of 5G communications, with a direct influence on critical applications in e.g., industrial automation and transport systems.

Application Deadline: 31 December 2023

Apply now

 

6. 02 Fully Funded PhD Position in Microbial Chemical Ecology

Summary of PhD Program:

We have two open PhD positions affiliated to the Center for Microbial Secondary Metabolites (CeMiSt – https://cemist.dtu.dk/), which is a Center of Excellence funded by the Danish National Research Foundation. The research area for both positions falls within microbial natural product chemistry with a focus on analysis of the interaction between secondary metabolite-producing microorganisms. We are looking for two ambitious younger chemists with documented experience in microbial natural product chemistry and an interest in chemical ecology. In both positions you will have the unique opportunity to work with cutting edge analytical instrumentation in the investigation into the natural roles of natural products.

Application Deadline: 21 November 2023

Apply now

 

7. Fully Funded PhD Position in AI Driven Medical Image Analysis for a Cardiovascular Risk Prediction

Summary of PhD Program:

The projects are focused on deep learning based methods on 3D CT for cardiovascular risk prediction in collaboration with the heart center at Rigshospitalet. From the computational side, our main research interests are 3D data representations (meshes, implicit descriptions and other descriptors), latent space manipulations (deep metric learning etc), geometric deep learning and deep reinforcement learning. From the clinical side, we aim at discovering new or unexplored image biomarkers that can add to the existing patient stratification for major cardiovascular diseases. In addition to our offices at DTU Compute, we have an office and access to GPU computers at the hospital where we can work on the large databases of CT scans they have there.

Application Deadline: 15 November 2023

Apply now

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8. Fully Funded PhD Position in Ultra-Low Noise Laser Sources for Quantum Communication

Summary of PhD Program:

We seek a motivated, curious, and outgoing PhD candidate with a solid background in laser physics, fiber-sensing or fiber-optic/quantum communication. Experience with machine learning, digital signal processing and experimental work is a plus. The project goal is to explore reinforcement learning to realize feedback control that can enable quantum noise limited operation of single and multi-frequency laser sources. The project will cover both algorithm development as well as experimental implementations. Throughout the project, a close collaboration with NKT Photonics is envisioned.

Application Deadline: 20 December 2023

Apply now

 

9. Fully Funded PhD Position in metabolomic based analysis of microbial secondary metabolites

Summary of PhD Program:

We are seeking a candidate to study microbial secondary metabolite profiles using NMR spectroscopy as the main analytical technology. The objective is to track secondary metabolite metabolism using isotope labeling and a multitude of NMR techniques. It will include NMR methodology developments and screening. You will be involved in a fun, highly interdisciplinary PhD project on microbial natural products. You will engage with many other scientists within CeMiSt, which is a very productive scientific environment with strong international connections and be part of the NMR Center DTU.

Application Deadline: 20 November 2023

Apply now


10.
Fully Funded PhD Position in Individualization of Binaural Processing in Hearing-Aid and Cochlear-Implant Users 

Summary of PhD Program:

Understanding speech in situations with multiple spatially distributed noise sources and sound source localization in everyday life poses challenges for users of hearing instruments, including both hearing aids (HA) and cochlear implants (CI). For bimodal and bilateral CI recipients, a dedicated binaural processing scheme that combines microphone signals from the left and right has been proposed. Studies have shown that for bilateral CI users, bilateral severe-to-profound HA users, and bimodal users, localization accuracy and spatial release from masking can be improved. Recently, a new optimization criterion for this algorithm has been employed to provide benefits for mild-to-moderate HA users as well.

Application Deadline: 16 November 2023

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11. Fully Funded PhD Position in Immersive Process Mining

Summary of PhD Program:

Your overall focus will be to strengthen the department’s competences within computational modeling, and the design, analysis and implementation of visual languages to represent complex organizational processes from a human-centered perspective. You will work with nearby colleagues, and with both academic and industrial partners in Denmark as well as in the Netherlands. In your PhD you will study how modeling languages can support the understanding, simulation and verification of knowledge-intensive processes.

Application Deadline: 1 December 2023

Apply now

12. Fully Funded PhD Position in Recombinant production and biophysical and structural characterization of plant proteins

Summary of PhD Program:

We are seeking a PhD student for a position in recombinant production and biophysical and structural characterization of rapeseed proteins. The main aims of the PhD project are the generation of the principal isoforms of the rapeseed proteins cruciferin and napin, and variants and mutants thereof, and the characterization of their interactions with each other, as well as with other compounds relevant in a food context (e.g. carbohydrates, lipids). Similar experiments will also be performed with proteins purified directly from rapeseed and the results compared with those obtained with the recombinant proteins. The project contains also structural biology elements (notably X-ray crystallography) of pure isoforms, mixtures and complexes of the proteins.

Application Deadline: 31 December 2023

Apply now

 

13. Fully Funded PhD Position in Micro-single chamber solid oxide cells for IoT applications

Summary of PhD Program:

At DTU Energý, we continuously strive for innovative energy solutions, and we are now looking for a PhD candidate to be a part of new exciting research. The project is funded by the PhD grant for an alliance project between the University of Aalto and DTU. We will work on a new concept of miniaturised fuel cells based on nanostructures. The project aims to fabricate nano-architectures of functional metal oxide materials to achieve fast oxygen conductors and electrochemical conversion at low temperatures. These new materials will improve the current state-of-the-art solid-state ionics and open up applications in sensors, solid-state batteries, electrolysis and fuel cells.

Application Deadline: 1 February 2024

Apply now

 

14. Fully Funded PhD Position in Experimental Quantum Photonics Reservoir Computing 

Summary of PhD Program:

The Machine Learning in Photonic Systems group at DTU Electro seeks one candidates for PhD projects on quantum photonics reservoir computing. The 3-year PhD position is funded by Danish Research Council project `Quantum Photonic Reservoir Computing’ (QUARCOM). This PhD project is a collaboration between the Technical University of Denmark and Aarhus University that aims at developing a new neuromorphic computing platform with high-efficiency and low energy consumption by combining recent advances in silicon photonics chips and the quantum nature of light to realize the first quantum photonic reservoir computing platform.

Application Deadline: 21 November 2023

Apply now

 

15. Fully Funded PhD Position in Frequency Modulated Optical Phased Array for Fast CO2 Sensing

Summary of PhD Program:

Light Detection and Ranging (LiDAR) is a 1-3D sensing technology that can be used for remote sensing of e.g. distance, velocity or chemical composition of a gas or solid. Typically, LiDAR designs comprise a multitude of moving parts (e.g., an assembly of lasers, optics, electronics, and detectors) on a mechanically rotating stage. The need to assemble and align all these parts leads to high costs and relatively low manufacturing volumes, while the wear and tear on the mechanical components limits long-term reliability. To solve these problems, the trend is to go for higher levels of integration enabled by semiconductor technologies and move away from discrete and mechanical components.

Application Deadline: 15 December 2023

Apply now

 

16. Fully Funded PhD Position in Modelling and grid service provision of converter-dominated power plants

Summary of PhD Program:

You are expected to carry out high-quality research at the intersection of renewable-energy technologies, power systems, power electronics, and control systems, both from a theoretical/analytical point of view and through experimental/laboratory work. You will study the dynamic performance of converter-dominated power plants. This involves different co-located renewable-energy resources interconnected using power electronic converters, different (grid-forming/-following) approaches to controlling such converters, and different ways of interconnecting them. You will also assess the grid code compliance of such power plants and their capabilities to provide grid services such as blackstart.

Application Deadline: 30 November 2023

Apply now

 

17. Fully Funded PhD Position in Physics, Biophysics, Nanofluidics and Optical Microscopy Applied to Biological Particles

Summary of PhD Program:

In the ‘Nanofluidics and Bioimaging’ group, we have a unique platform for purification and characterization of biological nanoparticles. Here we combine micro- and nanofluidics with fluorescence microscopy for applications within diagnostics. Exosomes are micro- or nanoscopic particles composed of many different biomolecules. They are found in liquid biopsies and due to their cellular origin, they are interesting targets for powerful diagnostics tools. Recently we developed a nanofluidics trap that can trap and characterize nanoparticles, and we demonstrated it on exosomes. The vision for this PhD project is to develop the technology towards diagnostic applications.

Application Deadline: 1 January 2024

Apply now

 

18. Fully Funded PhD Position in Computer Vision with Deep Learning for Human-Machine Collaboration 

Summary of PhD Program:

Learning visual recognition models requires huge amounts of data, especially when relying on data-hungry deep neural networks. These data need to be manually and passively annotated by humans. This labeling procedure is one of the most important steps in a machine learning pipeline and is tedious, expensive, and susceptible to noise leading to erroneous labels. We aim to establish a deeper human-machine collaboration for all stages of the learning pipeline via multimodal labeling and learning. The goal of this project is to leverage information from different modalities that naturally occur near web images to assist the image annotation. You will develop state-of-the-art multimodal models for self-supervision with human-in-the-loop text supervision. This PhD project will be supervised by Associate Professor (DTU).

Application Deadline: 2 January 2024

Apply now

 

19. Fully Funded PhD Position in Wind Turbine Load Surrogate for Wind Farm Control

Summary of PhD Program:

We need a passionate, curious, and enthusiastic new team member committed to addressing climate change through advancing renewable energy systems. We’re searching for someone who flourishes in the face of complex problems, isn’t afraid to ask probing questions, and possesses the grit to pursue innovative solutions in a rapidly evolving field. You are a committed individual with a strong engineering or computer science background. You have a keen interest in scientific programming and machine learning. Your curiosity guides you to explore and understand the intricacies of wind energy systems, and your self-guided nature encourages you to push the limits of what is today possible for a better tomorrow.

Application Deadline: 15 December 2023

Apply now

20. Fully Funded PhD Position in Diversifying Heuristics for Stochastic Optimization Problems

Summary of PhD Program:

As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and learn to write scientific papers. In DECIDE we will develop a new framework for investment decision making under uncertainty based on a combination of machine learning and operations research. Instead of solving a complex stochastic optimization problem defined on a fixed set of forecasted scenarios, we will use an iterative process that allow us to generate a palette of near-optimal solutions. Knowing the full spectrum of possible choices enables a much broader discussion of investments, leading to a more transparent and inclusive decision process.

Application Deadline: 20 November 2023

Apply now


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