项目介绍

2024年11月14日

Job description

In the LEAP project (Leveraging Energy-Aware Programming), we will investigate if it is possible to develop a model for energy-aware programming and implement the needed tools to support it. This PhD position will be the main research position.

The idea of an energy-aware programming model is to support the programmer, such that programming choices for lower energy consumption become clearer. In the project, you will work with methods to better quantify and evaluate the efficiency of specific and representative programs. To evaluate the programs and different program transformation, you will need to understand their behaviour. This is not different from how efficiency of programs is investigated by running the programs. This work will be supported by laboratories and researchers at Roskilde University, Denmark, that have studied several aspects on software’s energy consumption and is working on a testing bench; it is therefore expected that you will have extended research stays here.

In all, the goal of this PhD project is to build a foundation for understanding and quantifying of energy consumption for modern hardware, languages, compilers and run-time system. This will include research in measuring the energy consumption of different aspect computing systems and programming languages. Based on this, you will research tool, programming languages and/or programming models that can aid programmers in understanding or mitigating energy aspects of their programs.

More information on the project:
https://www.mn.uio.no/ifi/english/research/projects/leap/

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. 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
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• Prior knowledge of programming language technology and transformation, including compilers, program transformation and program analysis, is required

Desired qualifications:

• Prior knowledge of programming language design, including formal semantics or type systems, is desired
• Prior knowledge of modern computing systems and their design is desired
• Prior knowledge of methods and practical work in statistical analysis is desired

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
•    English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8

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

Personal skills

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. Therefore, the candidate should have good communication skills and be able to work independently. This includes:

• Ability to work independently as well as in a multidisciplinary and international team
• Ability to give and receive constructive scientific criticism
• High motivation for interdisciplinary collaboration
• Ability to write in a scientific, structured, clear and concise manner

We offer

• Salary NOK 532 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
• Attractive welfare benefits and a generous pension agreement 
• Vibrant international academic environment
• Career development programmes
• Oslo’s family-friendly surroundings with their 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 and transcripts of records
• 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.

Interviews with the best qualified candidates will be arranged.

Formal regulations

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

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.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Michael Kirkedal Thomsen, e-mail: michakt@ifi.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.no