The Department of Computer Science, University of Copenhagen, Denmark, seeks applications for a PhD scholarship within algorithms, supervised by Professor Mikkel Thorup.
Other research areas in the department include programming language technology, combinatorial optimization, high-performance computing, data mining, and machine learning.
The candidate must have a strong background within algorithms (the type of algorithms that get published at SODA) and/or relevant mathematics, demonstrated by graduate level courses and/or project and thesis work within this research field. Publications at conferences such as SODA/STOC/FOCS would be a big plus
The PhD project will be carried out at Department of Computer Science, University of Copenhagen. The project must lead to a dissertation.
The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE are:
- To manage and carry through your research project
- Attend PhD courses
- Write scientific articles and your PhD thesis
- Teach and disseminate your research
- To stay at an external research institution for a few months, preferably abroad
- Work for the department
Applicants should hold an MSc degree in Computer Science, Mathematics or a related field with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.
Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
The starting salary is currently at a minimum DKK 309,109 including annual supplement (+ pension up to DKK 42,699). Negotiation for salary supplement is possible.
The application, in English, must be submitted electronically by clicking APPLY NOW (or SØG STILLINGEN) below.
- Cover Letter
- Curriculum vitae
- Project description including technical approaches (max 3 pages)
- Diploma and transcripts of records (BSc and MSc)
- Full contact details (Name, address, telephone & email) for 2 persons for references
- Diploma and transcripts of records (BSc and MSc)
- Other information for consideration, e.g. list of publications (if any),
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
The deadline for applications is Wednesday 29 March, 23:59 GMT +1. Applications received after the deadline for applications will not be considered.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.
The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/ .
For specific information about the PhD scholarship, please contact the principal supervisor Professor Mikkel Thorup, Department of Computer Science, email@example.com , phone: +45 21179123.
General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd .
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.
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