Computer Science PhD Programs – 5 PhD Scholarships at Aarhus University, Denmark

    Computer Science PhD Programs - 5 PhD Scholarships at Aarhus University, Denmark

    5 PhD Scholarships in Computer Science, Augmented and Virtual Reality, Big data analysis, Programming languages, Program Analysis and Testing at Department of Computer Science, Graduate School of Natural Sciences, Aarhus University, Denmark (Computer Science PhD Programs)


    Deadline to Apply

    May 01, 2021 (23: 59 GMT +1)


    Overview

    PositionPhD Scholarships
    No. of Position(s)5
    Research Area– Augmented and Virtual Reality
    – Big data analysis
    – Programming languages
    – Program Analysis and Testing
    – Program Verification
    ScholarshipAccording to Standard Norms
    WorkplaceDepartment of Computer Science
    Aarhus University
    Aabogade 34
    8200 Aarhus N
    Denmark
    Contract PeriodNot specified

    Projects

    Augmented and Virtual Reality for Industrial Applications

    Algorithms supporting big data analysis

    Programming language design, analysis and verification

    Program Analysis and Testing

    PhD students for Center for Basic Research in Program Verification

    How to Apply?

    To access the application form, click the apply now link above

    Fill in the following information

    • Personal information
    • Academic background
    • Admission
    • Financing (if any)
    • Study: In the dropdown menu you must choose the above-mentioned project you interested
      • for example “Augmented and Virtual Reality for Industrial Applications
    • Source (how you found out about the call)
      • Please mention that “nViews Career”

    Next to some of the information fields you will find a number. Click on the number to get further directions on how to fill in the information field/what information is needed.

    Documents Required

    • One reference (template for references)
    • Curriculum vitae,
    • Motivation (max. 1 page)
    • Transcripts, grade point averages (weighted and unweighted), and diploma(s) for both Bachelor’s and Master’s degree. If the original documents are not in English or one of the Scandinavian languages (i.e. Norwegian, Swedish or Danish) then copies of the original documents as well as a certified English translation must be attached.
    • Project description (½-4 pages). For technical reasons, you must upload a project description. When – as here – you apply for a specific project, please simply copy the project description above, and upload it as a PDF in the application. If you wish to, you can add to this description and you can indicate an URL where further information can be found. Please note that we reserve the right to remove scientific papers, large reports, theses and the like.
    • Documentation of language skills if required.

    Documentation of language skills

    The English language requirement at the graduate school is comparable to an “English B level” in the Danish upper secondary school (“gymnasium”).

    English language qualifications comparable to an “English B level” are documented by one of the following tests:

    • TOEFL test (internet-based), minimum score: 83. The graduate school does not accept the paper-based test, nor the TOEFL ITP test. Remember to ask the test center to send your test results to Aarhus University in order to enable verification of your test results. Aarhus University’s TOEFL code is 8935.
      Currently, the TOEFL iBT Special Home Edition test (available in selected areas) will also be accepted.
    • IELTS (academic) test, minimum average score: 6.5 points
    • Cambridge English Language Assessment:
      Cambridge Certificate of Proficiency (CPE)
      Cambridge English: Certificate of Advanced English with grade A,B or C (CAE)
      Cambridge English: First Certificate with grade A (FCE)

    When to take the test and how to upload the documentation:
    The test result must not be more than two years old at the time of application.

    The English language test should be taken before applying for admission and uploaded under “language skills documentation” in the online application form.

    Note

    • Please be aware that you cannot submit the application if one or several of these documents have not been uploaded.
    • If you wish to upload more than one document under each section, you must scan/merge all documents into one large PDF file and upload this. Please note that we reserve the right to remove scientific papers, large reports, theses and the like. Instead you can indicate a URL where the information is available.
    • All information in the application must be in English or Danish, preferably English. A certified English translation is required for documents written in languages other than English or one of the Scandinavian languages (i.e. Norwegian, Swedish or Danish) languages.
    • As a minimum all applications must include (pdf-files only, max. 20 MB, no zip):
    • Check out more details at the project advertisement (Computer Science PhD Programs)

    Augmented and Virtual Reality for Industrial Applications

    Qualifications and specific competences

    Applicants to the PhD position must have a relevant Master’s degree (e.g., Computer Science, IT Product Development). Some prior experience with areas such as: software development, computer graphics, computer vision, machine learning, Augmented Reality, Virtual Reality is necessary. Finally, an interest in didactics, learning methods or learning games is an advantage.

    Research area and project description

    The Danish manufacturing industry is experiencing an increasing need for digital learning to effectively address skills gap amid the implementation of Industry 4.0. Aarhus University is heading a Work Package on Augmented and Virtual Reality research for such industrial application as a member of the Manufacturing Academy of Denmark (MADE), which is supported by the Innovation Fund Denmark. Watch this video (in Danish) to see how Augmented Reality plays a central role in the vision of Industry 4.0.

    Aarhus University collaborates with VIA University College in the MADE FAST Educational Track. The purpose of this track is to accelerate education and lifelong learning among current and future employees in the Danish manufacturing industry through the application of Mixed Reality learning technologies and modern learning methods.

    It is the aim of the PhD project to investigate, develop, and evaluate new innovative learning concepts for current and future manufacturing employees using Mixed Reality technologies and digital twins. To reach this objective, the PhD project will identify and explore didactic differences between educating in industrial environments and educational institutions in order to successfully develop new learning concepts and technologies together with experienced teachers to accelerate the introduction of employees to advanced production technology (Industry 4.0.).in industry and in particular SMVs

    The PhD project will investigate, develop and evaluate Mixed Reality learning technologies for Industry 4.0 technologies including various digital simulation tools, virtual design of production and facility layout, digital twins, and cyber-physical systems.

    The research project will be designed around cases from teaching at VIA University College, including  courses at the bachelor programs in Production Engineering, Value Chain Management and other industry related programs.

    Beyond the project-specific challenges indicated above, the PhD is expected to disseminate research results through conference presentations and scientific publications as well as at workshops for teachers at VIA University College.

    The successful PhD candidate will join our group of MADE researchers and work in close collaboration with VIA University College and Danish production companies.
    What we offer:

    • Work with industry professionals and world-class researchers in the field of Computer Science, and particularly HCI
    • Conduct visionary Mixed Reality research using cutting-edge technology
    • Gain teaching experience by supporting relevant courses at the Department of Computer Science teacher workshops at VIA University College
    • Develop new skills, gain knowledge, and meet peers at summer schools, workshops and conferences around the world
    • Experience a change of research environment during a semester abroad

    Contacts:
    Applicants seeking further information are invited to contact:

    Kaj Grønbæk, Professor, PhD

    Department of Computer Science
    Aarhus University
    Aabogade 34
    DK-8200 Aarhus N
    DENMARK
    Email: kgronbak@cs.au.dk
    Cell ph: (+45) 2149 5634

    or

    Rickard Lindquist,
    Chr. M. Østergaardsvej 4
    8700 Horsens
    Email: rl@via.dk
    Cell ph: +4587554403


    Algorithms supporting big data analysis

    Qualifications and specific competences

    Applications are welcomed from students with either a BS or an MS degree. A strong background in algorithms and data structures is required, and applicants with experience within I/O-efficient algorithms, cache-oblivious algorithms, or algorithm engineering are preferred.

    Research area and project description

    Two PhD positions in the area of big data analysis algorithms are available under the supervision of Professor Gerth Stølting Brodal (www.cs.au.dk/~gerth). The positions are part of a project funded by a grant from Independent Research Fund Denmark. The overall objective of the project is to develop memory-hierarchy efficient (such as I/O-efficient and cache-oblivious) algorithms and data structures for a number of fundamental geometric data structure problems, a number of fundamental graph data problems, as well as for a number of fundamental massive terrain data and flood risk assessment problems. The project is conducted in collaboration with leading international experts at Duke University (Pankaj Agarwal), UC Irvine (Mike Goodrich), Université Libre de Bruxelles (John Iacono) and Goethe University Frankfurt (Ulrich Meyer), as well as the Aarhus University spin-out company SCALGO.

    The PhD positions include full tuition and a very competitive scholarship.

    Contacts:
    Applicants seeking further information are invited to contact:

    Professor Gerth Stølting Brodal
    Email: gerth@cs.au.dk

    Research group coordinator Signe Jensen
    Email: slj@cs.au.dk


    Programming language design, analysis and verification

    Qualifications and specific competences

    Applications are welcomed from students with either a BSc or an MSc degree. A strong background in programming languages or software engineering is required.

    Research area and project description

    The Programming Languages group at the Department of Computer Science is looking for talented PhD students to conduct research in the area of programming language design, analysis and verification. The group develops languages, theory and tools that increase software quality and programmer productivity. Research topics include static and dynamic analysis, analysis of web and mobile applications, declarative logic programming, type systems, algorithmic and quantitative verification, foundational problems in model checking and concurrency.

    The PhD positions include full tuition and a very competitive scholarship.

    Contacts:
    Applicants seeking further information are invited to contact:

    For scientific questions, please contact

    Anders Møller
    Email: amoeller@cs.au.dk

    Andreas Pavlogiannis
    Email: pavlogiannis@cs.au.dk

    Magnus Madsen
    Email: magnusm@cs.au.dk

    For other questions, please contact

    Henriette Gammelgaard Farup
    Email: henriettefarup@cs.au.dk


    Program Analysis and Testing

    Qualifications and specific competences

    Applications are welcomed from students with either a BSc or an MSc degree. A strong background in programming languages or software engineering is required.

    Research area and project description

    Several PhD stipends are available at the Center for Advanced Software Analysis (CASA) at Aarhus University, Denmark, funded by the European Research Council.

    The CASA center conducts research in static program analysis and automated testing, aiming to improve software quality and programmer productivity, with a particular focus on web and mobile software. Our recent work involves state-of-the-art program analysis and testing techniques for JavaScript and Java. Our scientific results are published at top conferences in Programming Languages and Software Engineering.

    The PhD positions include full tuition and a very competitive scholarship.

    Contacts:
    Applicants seeking further information are invited to contact:

    For scientific questions, please contact

    Anders Møller
    Email: amoeller@cs.au.dk

    For other questions, please contact

    Henriette Gammelgaard Farup
    Email: henriettefarup@cs.au.dk


    PhD students for Center for Basic Research in Program Verification

    Qualifications and specific competences

    Applicants to the PhD position must have a Master’s degree in Computer Science.

    Research area and project description

    Supported by a generous Villum Investigator Grant from VILLUM FONDEN, we have started a new Center for Basic Research in Program Verification (CPV) in September 2019 at Aarhus University, Denmark.

    We are looking for several PhD students to work in the Center for Basic Research in Program Verification. Research topics include: extensions of higher-order concurrent separation logics (such as our Iris logic, see iris-project.org), e.g., to reason about distributed systems; probabilistic program logics; logical relations for relational reasoning about safety and security properties; formal modeling of low-level capability machines and secure compilation; guarded cubical type theory; and coq formalizations.

    Contacts:
    Applicants seeking further information are invited to contact:

    For scientific questions, please contact

    Professor Lars Birkedal
    Email: birke@cs.au.dk

    For other questions, please contact

    Henriette Gammelgaard Farup
    Email: henriettefarup@cs.au.dk

    Official advertisement

    Check out other Computer science PhD Programs at GSNS – May 2021

    Other PhD Positions with Scholarships

    Post expires at 8:59am on Sunday May 2nd, 2021 (GMT+9)