Summary: Aalto University is offering a scholarship for a Doctoral Researcher position in Sustainable AI and Cloud Computing. This role supports the DecAI project aimed at decarbonizing AI by assessing and optimizing the carbon emissions generated from AI’s development and operation.
Doctoral Researcher in Sustainable AI and Cloud Computing
Designation
Doctoral Researcher (4 years)
Table of Details
| Detail | Information |
|---|---|
| Research Area | Sustainable AI and Cloud Computing |
| Location | Aalto University, Espoo, Greater Helsinki, Finland |
| Eligibility/Qualification | Master’s degree in computer science, communications engineering, or related field (CGPA ≥ 3/5); experience in AI and machine learning, programming skills, and fluency in English. |
| Last Date to Apply | October 31, 2025 |
Description
The Doctoral Researcher will join the Cloud and Network Computing group, focusing on reducing the environmental impact of AI and cloud computing. The selected candidate will work on identifying carbon metrics, evaluating the AI lifecycle, and developing a software framework to quantify long-term environmental impacts. This role offers an opportunity to gain expertise in AI, cloud computing, networking technologies, and energy systems through interdisciplinary collaboration.
How to Apply
Interested candidates must submit the following documents as PDFs via the recruitment site:
- A CV
- A short letter of motivation (max 1 page)
- Sample code (provide URL and describe your contribution)
- Names and email addresses of two references
- Transcripts of grades from Bachelor’s and Master’s degrees
Applications should be submitted as soon as possible, as candidates may be hired at any time during the application period.
For more information about the position, please contact Professor Gopika Premsankar directly at gopika.premsankar@aalto.fi. For recruitment process inquiries, contact the ELEC HR Advisor at hr-elec@aalto.fi.
This scholarship presents a unique opportunity for individuals passionate about improving sustainability within technology-driven fields.
