Job description

A PhD Research Fellowship in Cloud Computing, optimization, and machine learning is available at the Department of Informatics.

The fellowship period is 3 years. Candidates may be offered one additional year by the Department of Informatics; the 4 years position then entails a compulsory work load of 25% that consists of teaching and supervision duties.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.Starting date no later than 01.10.2019.

More about the position

The position is funded by and hosted by the Centre for Scalable Data Access in the Oil and Gas Domain (SIRIUS), which is a Centre for Research-Driven Innovation (SFI) research group, at the University of Oslo. SIRIUS is a long-term interdisciplinary research initiative, funded by the Norwegian Research Council, involving both academic research teams from UiO, NTNU and Oxford University, as well as industrial partners including operators (Equinor), service companies (Schlumberger and DNV GL), and IT companies (e.g., Computas, Evry, IBM).

The position is funded to investigate cross-Cloud autonomic application deployment and optimisation linked to the SIRIUS research strand on Scalable Computing and the Horizon 2020 MELODIC research project. The work entails studying how different application tasks and microservices can be grouped and best deployed across the available computing infrastructures and is supposed to develop, test, and validate novel allocation and optimisation algorithms for stochastic combinatorial problems using machine learning.

The theoretical results are assumed to be evaluated by industrial applications from the SIRIUS industrial partners and will involve the establishment of a Cloud execution platform on the parallel computer available in the SIRIUS laboratory with the possibility of deploying applications on the best suited hardware and to scale out to other private or public Cloud infrastructures.

Depending on the personal qualifications of the successful applicant, supervision of students will be expected.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

• Master’s degree or equivalent in computer science on the topics of distributed systems, Cloud computing, and machine learning; or in mathematical multi-objective optimisation
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• Existing knowledge and experience in Cloud computing and optimisation is necessary. It is desirable that the applicant has knowledge about the MELODIC software platform
• Candidates without a Master’s degree have until 30 June, 2019 to complete the final exam

Grade requirements:

The norm is as follows:

• the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
• the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
• the Master’s thesis must have the grade B or better in the Norwegian educational system
• Fluent oral and written communication skills in English

http://www.mn.uio.no/english/research/phd/application/application.html

We offer

• salary NOK 449 900 – 505 800 per annum depending on qualifications in a position as PhD Research fellow, (position code 1017)
• attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities

How to apply

The application must include

• cover letter statement of motivation and research interests
• cv (summarizing education, positions and academic work - scientific publications)
• copies of the original Bachelor and Master’s degree diploma, transcripts of records and letters of recommendation
• Documentation of English proficiency
• list of publications and academic work that the applicant wishes to be considered by the evaluation committee
• names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “Apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).

Applicants may be called in for an interview.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:

http://www.mn.uio.no/english/research/phd/

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

• Dr. Geir Horn, +47 93 05 93 35, Geir.Horn@mn.uio.no

For technical questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, +47 22 85 42 72, t.s.guttormsen@mn.uio.no

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