Vacancies – University of Copenhagen

Forward this page to a friend Resize Print Bookmark and Share

Department of Computer Science DIKU > About DIKU > Vacancies

Vacancies at DIKU

7 PhD scholarships within Computer Science

 The Department of Computer Science, University of Copenhagen, Denmark (DIKU) encourages highly qualified and motivated candidates to apply for one or more PhD scholarships. We have a total of 7 PhD scholarships.

  • 1 PhD scholarship in Computer science, this PhD scholarship is available for the outstanding candidate who can define his/her own project within the areas of DIKU research sections
  • 1 PhD scholarship in Image Registration and Shape Modeling
  • 2 PhD scholarships in Medical Image analysis
  • 1 PhD scholarship in Human-Computer Interaction and Information Visualization
  • 1 PhD scholarship in Online learning
  • 1 PhD scholarship in Modeling of Mobile Internet User Experience

 PhD scholarship in Computer Science

 PhD scholarship is offered within the areas of DIKU’s research sections:

  • Algorithms and Programming Languages (APL). The APL section does research in a wide range of areas related to algorithms, programming languages and systems. It covers theoretical and practical aspects of: foundations of computing, incl. computability, complexity, logic, type theory; semantics-based programming language design and implementation, incl. program analysis, transformation, and verification; efficient data structures and algorithms, including hashing, graph labeling; algorithmic computational biology and network optimization; languages and frameworks for scalable and massively parallel computing; domain-specific languages, with applications to enterprise systems, finance, eHealth, internet games, etc; data management and systems, incl. issues in cloud computing, big data and geospatial data management. For further information, please visit
  • The Human-Centered Computing (HCC) section is concerned with the theory and practice of how people engage with computing. Currently, our research centers on: Human-Computer Interaction (HCI); We design, explore and evaluate new sensing and tracking technologies, information visualization, shape change, and mobile user interfaces. Computer-Supported Cooperative Work (CSCW); We work on understanding cooperative work practices and designing technologies to improve coordination, mediate communication, and facilitate collaboration in complex work environments. Information Systems Development (ISD); We are concerned with designing, constructing, and evolving IT systems in close collaboration with key stakeholders. Health Informatics. Our aim is to research, design and prototype information systems that improve the quality and efficiency in healthcare. For further information, please visit
  • Image section. The section hosts experts in image analysis & processing, computer vision, computer simulation, numerical optimization, information retrieval, and machine learning. Their work ranges from theoretical analyses, over algorithm development, to solving concrete problems for science, industry, and society. Biomedical imaging is a central application area, including neuroimaging (e.g., for Alzheimer's disease prognosis), breast cancer screening, and the analysis of pulmonary images. Other computer vision application domains are human motion analysis, agriculture, the meat industry, and astronomy. The section contributes to the theory of image analysis by studying nonlinear statistics, variational problems, and geometry on manifolds and metric spaces (e.g., for 3D tomographic reconstruction). The main application areas of numerical optimization and computer simulation are computer graphics and biomechanics. The section conducts core machine learning research, including deep learning, transfer learning, online learning, kernel methods, stochastic optimization, and concentration of measure inequalities. Furthermore, information retrieval methods are considered. Application domains include healthcare (e.g., disease outbreak prediction based on Internet data or searching the Web for rare diseases), cybersecurity, and distributed peer-to-peer information retrieval. For further information, please visit

 Enquiries about the position can be made to Associate Professor Jakob Grue Simonsen, e-mail:

 PhD scholarship in Image Registration and Shape Modeling

 The PhD student will be working in the Image Section at DIKU and be part of the Centre for Stochastic Geometry and Advanced Bioimaging (CSGB, The focus of the PhD position will be on modeling and statistical analysis of shape change that occurs for example when the anatomical structure of brains evolve as a result of neurodegenerative diseases, e.g. Alzheimer's disease. Such data can be acquired from MR scans and analyzed with image registration tools, for example within the Large Deformation Diffemorphic Metric Mapping (LDDMM) framework. The changing shape is here represented as a geodesic on a Riemannian manifold of diffeomorphisms, and statistical analysis of the data is therefore influenced by the curvature of the diffeomorphism manifold. The concrete goal of the project is to develop stochastic models and estimation algorithms for non-linear LDDMM inspired models. The position thus includes aspects of image registration, differential geometry and statistics.

 The candidate must – in addition to the qualifications listed by the end of the document –have

  • An MSc in Computer Science, Mathematics, Statistics, or Physics, or alternatively a BSc degree and the equivalent of one year of MSc studies in Computer Science, Mathematics, Statistics, or Physics
  • Documented solid foundation in mathematics and/or statistics

In addition, experience within the areas below will be desirable:

  • Image registration or image analysis
  • Differential geometry
  • Stochastic differential equations
  • Programming experience

 The position is available from June 1st June 2015 or as soon as possible thereafter. Enquiries about the position can be made to Assistant Professor Stefan Sommer, e-mail

 Two PhD scholarships in Medical Image Analysis

The DFF-YDUN funded project “NIMBLE: Novel IMaging Biomarkers of the Lung” aims to develop image-based technology to quantify lung disease. A combination of advanced techniques for texture analysis, image segmentation, image registration, and machine learning is used to derive measures of airways and lungs that best characterize disease in lung CT scans. This should lead to more sensitive image markers of lung disease and eventually to earlier diagnosis and more effective, personalized treatment. Together with our clinical collaborators, we will use the newly discovered imaging biomarkers to study the development and evolution of different lung diseases in several large databases consisting of thousands of CT scans. The project builds on many years of experience in pulmonary image analysis at DIKU and benefits from long-standing collaborations with medical centers both in Denmark and abroad. Within this project, there are two vacancies for PhD students.

 Required qualifications are described below. Prior experience with (biomedical) image analysis and/or machine learning techniques is an advantage. Next to the general application material as described below, please include in your application a copy of your BSc/MSc thesis (if in English).

The positions are available from 1st June 2015 or as soon as possible, thereafter. The PhD students will be placed in The Image Section ( Supervisors are Dr. Marleen de Bruijne and Dr. Jens Petersen. For more information, please contact Marleen de Bruijne, email:

 PhD scholarship in Human-Computer Interaction and Information Visualization

The PhD student will be working in the BIOPRO2 research center (BIO-based PROduction: TOwards the next generation of optimized and sustainable processes, The scholarship is funded by Innovation Fund Denmark and will be carried out at the Human-Centered Computing Section at DIKU in collaboration with Technical University of Denmark, University of Copenhagen, and world-leading companies in bio-based production. The PhD student will be doing user-centered design of efficient interfaces to sensor data and models in bio-based production systems. This relates primarily to research in human-computer interaction, information visualization, and visual analytics. The PhD student will develop prototypes that visualize data efficiently for different stakeholders and evaluate the visualizations both in laboratory studies and in field deployment within the industry partner companies.

 The applicant must have the following qualifications in addition to those listed below:

  •  MSC degree in computer science or a field providing equivalent qualifications.
  • Completed a MSC thesis within human-computer interaction, information visualization, visual analytics, or similar topic.
  •  Documented programming skills (preferably Java, JavaScript/D3, C#, or similar). 
  • Ability to work independently within an interdisciplinary team and in collaboration with company stakeholders.

 The scholarship can be commenced as of 1st August 2015, or as soon as possible thereafter. Enquiries about the position can be made to Assistant Professor Mikkel R. Jakobsen, e-mail

 PhD scholarship in Online Learning

The PhD candidate will work under supervision of Assistant Professor Yevgeny Seldin on theoretical problems in online learning. The primary goal is to derive algorithms that interpolate between various online learning settings. Please, see the following presentation and references therein to get an idea about the problems that will be studied.

 The candidate must in addition to the qualifications listed below have the following qualifications:

  • Strong mathematical background
  • Good background in machine learning and probability theory
  • Deep interest in challenging theoretical problems in the fields of online learning / machine learning / probability theory

Furthermore, the following qualifications are an advantage

  • Background in online learning
  • Publication record at the top machine learning journals and/or conferences
  • Relevant industrial experience

 Important: if you apply for this position (or have any enquiries about it), please, send an email to Assistant Professor Yevgeny Seldin, IN ADDITION to submitting the formal application. The email should explain WHY you are interested in this position and HOW you meet the required qualifications.

 PhD scholarship in Modeling of Mobile Internet User Experience

 The PhD student will be working in the Human-Centered Computing (HCC) section. The PhD scholarship will be carried out at DIKU in formal collaboration with the Center of Informatics, University of Geneva (Switzerland), Carnegie Mellon University (US), Stanford University (US) and several partners in the Copenhagen area, including mobile network operators. The objective of the PhD project is to develop, implement and evaluate predictive models of user experience when using mobile Internet in different contexts of daily life (locations, times, mobility levels, varying user’s momentary expectations, etc.).

 The candidate must – in addition to the qualifications listed below – have a solid academic background in the relevant areas of computer science, as demonstrated by academic courses and project/thesis work related to: machine learning and data mining, design of telecommunication services and geo-spatial data analytics. Experience with programming of mobile devices and conducting user studies is desirable, but not required.

 The position is available from 1st July 2015 or as soon as possible thereafter. Enquiries about the position can be made to Associate Professor Katarzyna Wac, e-mail


 The salary and appointment terms are according to the agreement for PhD scholarships as of 1 April 2014, according to which the monthly salary amounts to approximately EUR 3,800 including pension savings. Candidates should have an MSc degree in computer science, mathematics, physics, statistics, engineering, or similar, at the time of taking up the position. The appointment is for a period of 3 years and is expected to lead to a PhD dissertation. Candidates who already have a PhD degree are not qualified for the positions.

The key criteria of excellence for the assessment of the candidates are:

  • Grades that document an outstanding academic record
  • Scientific publication(s) in recognized, peer-reviewed venues
  • Awards and honours
  • Professional qualifications and work experience

 Candidates who do not stand out in at least one of the above-mentioned criteria of excellence will not be considered for the positions.

 Submission of applications

 Applicants are requested to submit their application by using the link below and to clearly indicate which PhD scholarship(s) they apply for. This is done by marking the application “Image Registration and Shape Modeling”, “Medical Image analysis”, “Human-Computer Interaction and Information Visualization”, “Online learning”, “Modeling of Mobile Internet User Experience”,

and/or “Computer Science in general”. If there is no indication, the application will be rejected. The application deadline is 16th March 2015 (CET-Central European Time). Applications or supplementary material received thereafter will not be considered.

 A successful applicant typically already has an established research record inside the potential supervisor's field. A successful application typically includes:

  • Letter of motivation(s) that include(s) specific ideas and proposals for research work to be undertaken as part of the PhD project. If you apply for more than one PhD scholarship, you should send an independent motivation letter for each of the PhD scholarship.
  • Documentation of academic degree(s); grade transcripts that documents an outstanding academic record. Unless the candidate’s diploma and transcripts of grades are in Danish or English, the candidate should procure a certified translation. Furthermore, the candidate must include information about the grading scale provided by her/his university or ministry
  • Curriculum Vitae which must include the name and contact information of three recognized researchers whom we may contact for further information
  • Scientific publication(s) in recognized, peer-reviewed venues, such as major international conferences or journals 


The University of Copenhagen actively influences current and future generations through excellent research, education and co-operation. UCPH is one of the highest ranked universities in Europe and is Denmark’s oldest university, founded in 1479. Today, the University has 37,000 students and 9,000 employees affiliated across six faculties: humanities, law, natural sciences, social sciences, health sciences and theology.

More jobs: