PhD fellowships at University of Copenhagen, Denmark

9 Fully Funded PhD Positions at University of Copenhagen, Denmark


1. PhD fellowship in Chemistry

We are looking for candidates within the field of synthetic chemistry, with a strong interest in expanding their capabilities in spectroscopy, electrochemistry, lanthanide chemistry, bioimaning and more.. Applicants must have a background with extensive experience in synthetic organic chemistry and a strong interest in making molecules.

The candidate will undertake an independent research project involving synthesis of ligands for lanthanide ions, synthesis of organic dyes, synthesis of bifunctional chelators, and photophysical studies of the resulting dyes and lanthanide complexes.

Deadline : 1st October  2022

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2. PhD fellowship in molecule-mineral interactions at GLOBE Institute

The aim of this project is to investigate why minerals can stabilize DNA across space and time and how to utilize that knowledge for the research field of sedimentary ancient DNA. You will be using liquid cell atomic force microscopy in combination with other nano to microlevel and bulk approaches to probe the underlying mechanisms driving DNA preservation and degradation when associated with different mineral surfaces. You will perform in-situ degradation experiments by e.g. introducing enzymes and study the degradation and stability of the DNA-mineral interactions in a range of environmental relevant conditions. You will also probe molecule-mineral binding forces and general adsorption behaviours. You will have the possibility to be involved in protein-mineral stabilization studies and to partake in understanding bacterial preference toward different natural surfaces in relation to understanding biofilm propagation. It will be expected that you have a drive for experimental work and an interest in adsorption dynamics and mechanisms at the nano and molecular level.

Deadline : 1 October 2022,

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3. PhD fellowship in Experimental Quantum Matter

The work is at the interface between condensed matter device physics and designed quantum matter with prospects in quantum simulations. It takes advantage of novel epitaxial semiconducting-superconducting-ferromagnetic hybrid materials based on 2-dimensional electron gas. The project combines nanofabrication, low-temperature physics using a cryofree dilution refrigerator, low-noise and high-frequency electrical measurement techniques, data analysis, interaction with theoretical physicists, and scientific writing in English.

Deadline : 2 October 2022

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4. PhD fellowships in machine learning or quantum machine learning for health data science

The group focusses on development of deep generative models, quantum machine learning, and applications to medical data. We are seeking people to do research on one or more of these topics:

  • Quantum machine learning for biological applications. We are seeking people that can develop quantum algorithms for generative neural networks together with our theoretical and experimental collaborators in math and physics.
  • Development of deep generative neural networks. We are seeking people with a good theoretical background, who can also work on implementations and applications.
  • Applications of generative models to medical data such as gene expression data and clinical data. Part of this work is in the EU project GenomeMed4ALL.

Deadline :  3 October 2022

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5. PhD fellowship in pharmaceutical sciences at Department of Drug Design and Pharmacology

Neurological disorders constitute the third leading cause of premature mortality in Europe, and represent one of the greatest therapeutic challenges of our time. They are in part related to dysfunctions or imbalances in the signalling and regulatory processes mediated by the two key neuromodulators, glycine and glutamine. We aim to reveal the molecular details of glycine and glutamine transport by their respective solute carrier (SLC) transporters, as well as the molecular basis for ligand-mediated and autoregulatory modulation of the targets. The applicant will use a multidisciplinary approach including structural studies by cryo-electron microscopy and X-ray crystallography, and a range of biophysical and biochemical methods.

Deadline : 10 October 2022

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6. PhD fellowships in Machine Learning in Medicine

Funding for two Ph.D. positions working on two projects is available. One of the positions is the development of shape-based machine learning with the application on pancreatic image analysis and surgery planning. The second position is on the development of diagnostic machine learning solutions for classification and prognostication of gastrointestinal diseases. The Ph.D. fellows will work on both theoretical aspects of machine learning solutions development and the application of the developed solutions on clinically relevant problems.

Deadline : 15 October 2022

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 7. PhD fellowship in Quantitative 2D NMR Spectroscopy

The candidate will work on the LEX2 project which is made in collaboration with The Technical University (DTU compute). The project aim at project developing 2D NMR acquisition tools and corresponding state of the art data methods for solving fundamental problems in metabolomics/foodomics such as signal overlaps, alignment and ambigious interpretation. The project will thereby develop novel computational tools that can move the state of the art NMR based foodomics and  metabolomics research to a new level providing an unambiguous and in-depth identification and more reliable quantification of metabolites in biological samples. The project will explore advanced tensor decomposition methods for ultra-fast 2D NMR measurements for high throughput NMR analysis of complex food and biological samples. The project will be executed in collaboration with Prof. Morten Mørup the Section for Cognitive Systems, DTU Compute.

Deadline : 1 November 2022

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8. PhD fellowship in Quantitative 2D NMR Spectroscopy

The candidate will work on the LEX2 project which is made in collaboration with The Technical University (DTU compute). The project aim at project developing 2D NMR acquisition tools and corresponding state of the art data methods for solving fundamental problems in metabolomics/foodomics such as signal overlaps, alignment and ambigious interpretation. The project will thereby develop novel computational tools that can move the state of the art NMR based foodomics and  metabolomics research to a new level providing an unambiguous and in-depth identification and more reliable quantification of metabolites in biological samples. The project will explore advanced tensor decomposition methods for ultra-fast 2D NMR measurements for high throughput NMR analysis of complex food and biological samples. The project will be executed in collaboration with Prof. Morten Mørup the Section for Cognitive Systems, DTU Compute.

Deadline : 1 November 2022

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9. PhD position in Mathematics

There will be PhD stipends available in Algebraic and Arithmetic Geometry, Applied algebra, Combinatorics, Geometric group theory, Geometry and Geometric Analysis, Number Theory, Representation Theory, and Topology as covered by the section Algebra & Geometry and  Copenhagen Center for Geometry & Topology (GeoTop).

 Classical Analysis, Descriptive Set Theory, Functional Analysis, Geometric group theory, Harmonic Analysis, History of Mathematics, Mathematical Physics, Operator Algebras, Partial Differential Equations, Quantum Information, Quantum Computation, Quantum Simulation and Random Matrix Theory as covered by the section Analysis and Quantum, the Centre for the Mathematics of Quantum Theory funded by the Villum Foundation and the ‘Quantum for Life‘ Center funded by the Novo Nordisk Foundation.

Deadline : 15 November 2022,

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