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Doctoral Researcher In Sustainable Ai And Cloud Computing
Posted on July 2, 2025
- Espoo, Finland
- No Salary information.
- Full Time

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The rapid growth of artificial intelligence (AI) has led to increased energy consumption in data centers, raising concerns about carbon emissions. To address these challenges and support sustainability goals, the project DecAI aims to decarbonize AI through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders, such as AI providers and data center operators, to evaluate and compare scenarios to reduce emissions. The framework will be released as a software tool to guide emissions reduction strategies. The project aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits for the electricity grid. By addressing AI's entire lifecycle, DecAI offers a holistic approach to reducing carbon emissions.
The doctoral researcher will work closely together with our team, on tasks such as to:
- Identify and evaluate carbon metrics for reducing the environmental impact of AI and cloud computing
- Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use
- Develop methodologies to estimate the long-term impact of AI on carbon emissions and other environmental indicators
- Build a software framework to quantify the long-term environmental impact of AI and cloud computing
- Master's degree in computer science, communications engineering, or a related field (with a CGPA of at least 3/5)
- Experience (e.g. coursework, projects, etc.) in AI and machine learning, including understanding of various DNN architectures, training models, and applying them for different tasks
- Good programming skills - you are required to provide a sample of your code during the recruitment process
- Strong interest and motivation in improving the sustainability of networked systems
-
Fluency in written and spoken English. See https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering#8-required-language-proficiencyfor information on how you can demonstrate proficiency in English. This is required when officially applying for doctoral studies at the School of Electrical Engineering in Aalto University
You will become a part of the Cloud and Network Computing group, headed by assistant professor Gopika Premsankar. Our group is dedicated to advancing research in networked systems, primarily focused on lowering the environmental footprint of such systems while enhancing sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work closely with collaboration partners within Finland and internationally in the USA, Netherlands and Germany. There are opportunities for research visits to strengthen collaboration with leading experts in this field.
To apply, please share the following application materials (as PDFs) with us through our recruitment site ("Apply now!”):
- A CV
- A short letter of motivation, at most 1 page, which describes your interest and motivation (please try to include details that are not part of your CV and emphasize how you address the requirements listed above)
- Sample code, preferably on a code repository (Provide a URL and describe in one paragraph your role in developing the software)
- Names and email addresses of two reference providers. They will be contacted directly at a later stage in the application process.
- Transcripts of your grades in Bachelor’s and Master’s degrees
Please send your application as soon as possible, at the latest October 31st, 2025. We will go through applications, and we will hire the right candidate as soon as we find them, possibly already during the application period.
We hope you have a strong interest and an ambition to make meaningful contributions in improving the sustainability of networked systems. We also expect you to be goal oriented and working with focus towards the goals of the project. We are a young and growing team; there is some flexibility in defining your specific research goals and you will work closely with the PI in developing your research.
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