Green coding is a set of software development practices used to create programs that consume as little energy as possible. Unfortunately, green coding practices are not in widespread use since they are not well understood, and they are cumbersome and time consuming to apply. In recent years Generative AI has emerged as a powerful tool in code development.

The key question in this project is: Can generative AI be taught to develop green code?

If the answer to this question is positive, generative AI may help reduce the energy consumption from ICT significantly(up to 50%) and the results may even be used to reduce the energy consumed by generative AI significantly.

Requirements:

- PhD in computer science

- Excellent scientific background and publication record

- Demonstrated ability to work independently as well as in a team

- Excellent communication skills in English, oral as well as written

- Good software development skills 

Advanced experience in one or more of the following areas will be an advantage:

- AI supported programming(e.g. GitHub Copilot)

- Large Language Models(LLM)

- Energy efficient programming techniques

- Compiler construction

- System and Hardware knowledge 

Responsibilities:

- Participate in the Teaching AI green coding research project

- Perform excellent scientific research

- Develop research prototypes and conduct experiments

- Publish in leading international conferences and journals

- Participate in activities of the group and the department

Some teaching within the educations offered by the Department of Computer Science can be expected. 

You may obtain further scientific information from Professor(MSO) Bent Thomsen,bt@cs.aau.dk 

The Distributed, Embedded and Intelligent Systems(DEIS) research group covers mathematical foundation, verification tools, validation methodologies, programming technology, probabilistic graphical models and machine learning focusing on distributed, embedded and intelligent systems. More information about DESS can be found at:https://www.cs.aau.dk/research/deis-distributed-embedded-and-intelligent-systems 

About Aalborg University: According to the most recent US News and World Ranking, Aalborg University ranks 2nd in Europe and 16th in the world within Best Universities for Engineering. According to a 2018 MIT report, Aalborg University is considered to have the 4th best engineering program in the world. According to the recent Times Higher Education Impact ranking, Aalborg University ranks 9th in the World for UN SDG Impact.

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.

• A current curriculum vitae.

• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.

• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.

• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.

• Additional qualifications in relation to the position.

• References/recommendations.

• Personal data.

 The applications are only to be submitted online by using the"Apply online" button below. 

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact HR department by mailest-st-hr@adm.aau.dk. Information regarding guidelines, ministerial circular in force and procedures can be seen here. 

Wages and employment

Ref number

2024-224-06130

Deadline

15.12.2024