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Gopika Premsankar

1 week ago

Doctoral Researcher in Adaptive Grid-Interactive Edge Datacenter Fleets (MSCA Doctoral Network) Aalto University in Finland

Degree Level

PhD

Field of study

Computer Science

Funding

EU-funded Marie Skłodowska-Curie Doctoral Network position for 3 years; 15 Doctoral Candidates in the network. The advert does not state the stipend amount.

Deadline

Dec 16, 2026

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Country

Finland

University

Aalto University

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Keywords

Computer Science
Information Technology
Analytical Modeling
Networked Systems
Radio Access
Telecommunications

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About this position

This doctoral researcher position is part of AEGIS, an EU-funded Marie Skłodowska-Curie Doctoral Network focused on making edge datacenters more carbon-efficient and grid-interactive. The network develops software-defined technologies that can turn edge data centers from passive loads into active resources for the electricity grid.

The advertised project, “End-to-End Energy Modeling for Distributed AI Services,” is about making the real energy cost of AI workloads visible to orchestrators and developers. The successful candidate will build compositional energy models that connect multiple layers of the digital infrastructure stack, spanning radio access network components, transport networks, and datacenter hardware. These models are meant to support carbon-aware decision-making by exposing end-to-end energy and carbon metrics through a fast query interface.

The work is framed around two main technical tasks: developing analytical models for distributed infrastructure components and building a low-latency API that can return the energy cost of an AI service. The advert highlights validation on the Aalto and Ericsson testbeds, with the aim of achieving highly accurate predictions and fast response times for energy-cost estimates.

The position sits in the Cloud and Network Computing group at Aalto University’s Department of Information and Communications Engineering in the School of Electrical Engineering. The group is headed by Assistant Professor Gopika Premsankar, and the doctoral researcher will also be advised by Professor Riku Jäntti. The role is embedded in a wider European training network, giving the student access to collaborators and secondments across academia and industry.

The project includes two research visits: one to Ericsson in Finland to test the energy models on infrastructure testbeds, and one to TU Wien to combine digital-twin models with end-to-end energy models. The broader network aims to coordinate multiple edge datacenter sites so they can operate together as a Virtual Power Plant.

Funding details

EU-funded Marie Skłodowska-Curie Doctoral Network position for 3 years; 15 Doctoral Candidates in the network. The advert does not state the stipend amount.

What's required

Master’s degree in computer science, communications engineering, telecommunications, or a related field with a CGPA of at least 4/5. Applicants should have experience in AI and machine learning, including understanding of different DNN architectures, training models, and applying them to different tasks; understanding of computer and telecom networks such as RAN; experience with empirical measurements, with prior energy or power measurement work strongly preferred; data analysis and analytical modeling skills or at least aptitude for identifying features driving system behaviour and building compositional or analytical models from measured data; good programming skills, including providing a code sample during recruitment; and fluency in written and spoken English. For official doctoral studies at Aalto University, English proficiency must be demonstrated within 6 months after starting, but official proof is not needed at application stage. MSCA eligibility also requires that the applicant does not yet hold a doctoral degree and meets the mobility rule (not having lived or done the main activity in Finland for more than 12 months in the 36 months before recruitment, with stated exceptions).

How to apply

Apply through Aalto’s Workday recruitment site using the job link provided. Submit a CV, a short motivation letter, sample code with a URL and role description, names and email addresses of two referees, and transcripts for your Bachelor’s and Master’s degrees. Combine files if needed to stay within the maximum of five attachments.

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Professors

assistant professor at Aalto University

University Name
Country flag

Finland

Research Interests

Telecommunications

Statistics

Information Technology

Computer Science

Networked Systems

Professor at Aalto University

University Name
Country flag

Finland

Research Interests

Telecommunications

Statistics

Information Technology

Computer Science

Analytical Modeling