Algorithms supporting big data analysis

Aarhus Universitet (AU)

Ph.d. & forskning
Østjylland (Aarhus)

Applications are invited for a PhD fellowship/scholarship at Graduate School of Science and Technology, Aarhus University, Denmark, within the Computer Science programme. The position is available from 1 May 2020 or later.

Title:
Algorithms supporting big data analysis

Research area and project description:
Several PhD positions in the area of big data analysis algorithms are available under the supervision of Professor Lars Arge and/or Professor Gerth S. Brodal. 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), Universite Libra 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.

Qualifications and specific competences:
Applications are welcomed from students with either a BSc or an MSc 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.

Place of employment and place of work:
Department of Computer Science, Aarhus University, Aabogade 34, 8200 Aarhus N, Denmark.

Contacts:
Applicants seeking further information are invited to contact:
For scientific questions, please contact Professor Lars Arge (large@cs.au.dk) or Professor Gerth S. Brodal (gerth@cs.au.dk).

For other questions, please contact research group coordinator Julie Rasmussen (jras@cs.au.dk).

Application procedures

Before you applyInformation and attachments:
Please be aware that you must have all relevant appendices, attachments, addresses for referees, etc. ready when you apply, as the entire application must be uploaded to the system in one go.

Documentation of language skills:
The English language requirement at GSST 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, minimum score: 560 (paper-based test) or 83 (internet-based test). The paper-based test must have a “total score”. From the August 2019 call, GSST will no longer accept the paper-based test.
    Aarhus University does not accept the TOEFL ITP test. Aarhus University’s TOEFL code is 8935. Ask the test centre to send your test results to Aarhus University, in order to enable verification of your test results.
  • 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.

It is possible to apply for admission before you have taken the test. In this case documentation stating that you have signed up for a test (please state expected submission date) must be uploaded. If the test result is not part of the original application the test result is to be sent to sphd@psys.au.dk no later than one month after the application deadline.

The following applicants are exempted from documenting their English qualifications/taking a test:

  • Applicants with citizenship from the following countries: Australia, Canada, Ireland, New Zealand, the United Kingdom, the United States, or one of the Nordic countries (Denmark, Finland, Iceland, Norway or Sweden).
  • Applicants with a Bachelor’s or Master’s programme completed in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States. In this case, please upload your Bachelor’s or Master’s diploma under the section ”Language skills documentation”.
  • Applicants with a Bachelor’s or Master’s programme completed at a Danish university for which the requirement was English B level at the time of admission. In this case, please upload your Bachelor’s or Master’s diploma under the section ”Language skills documentation”.

The programme committee may request further information or invite the applicant to attend an interview.

How to apply:
1) Find the application form:
Go to www.phd.scitech.au.dk/for-applicants/apply-here - Note, the online application system opens on 1 December 2019.
Choose February 2020 Call with deadline 1 February 2020 at noon (11.59 AM CET).
You will be directed to the call, and must choose the programme 'Computer Science'.

2) Fill in the following information:

  • Personal information
  • Academic background
  • Admission
  • Financing (if any)
  • Study: In the dropdown menu you must choose the project: "Algorithms supporting big data analysis"
  • Source (how you found out about the call)

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.

3) Application attachments:
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.

As a minimum all applications must include (pdf-files only, max. 20 MB, no zip):

  • 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
  • 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 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.

After submission of the application, you will receive a confirmation e-mail with an application ID, you should use for reference if needed.

GSST reserves the right to verify the authenticity of your educational diploma and transcripts:

  • Request additional information to verify an application.
  • Reject the application if it is proven, or if the University has reasonable belief, that the information provided is false or if the applicant refuses to provide the requested information, whether or not an offer has already been made.
  • For further information on applying, assessment procedures, etc. please see the GSST Application Guide.

Please note:

  • The programme committee may request further information or invite the applicant to attend an interview.

All interested candidates are encouraged to apply, regardless of their personal background.


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Ph.d. & forskning
Østjylland (Aarhus)
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Aarhus Universitet (AU)
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Aarhus Universitet blev grundlagt i 1928 og er i dag i den absolutte verdenselite på flere forskningsfelter. Aarhus Universitet (AU) er blandt verdens 10 bedste universiteter grundlagt inden for de seneste 100 år og har en lang tradition for partnerskaber med nogle af verdens bedste forskningsinstitutioner og universitetsnetværk.

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