Postdoctoral researcher in Cloud and Network Computing

Posted 10 Days Ago
Be an Early Applicant
Otaniemi, Espoo, FIN
In-Office
51K-51K Annually
Entry level
Edtech • Other • Professional Services
The Role
Lead an independent research agenda combining multimodal and large language models with networking. Design realistic network simulators, generate evaluation data, study dynamic network behavior, and develop resource-management or AI-native network-control algorithms. Collaborate with international researchers, mentor doctoral and master’s students, and build an independent publication profile in a fully funded two-year postdoctoral position.
Summary Generated by Built In

We are recruiting one postdoctoral researcher to join our team.

 

Your role

You will define and lead a research agenda at the intersection of multimodal large language models and networking, examples include semantic and context-aware networking, resource management in edge computing systems, and AI-native network control. An important part of the role is designing and building realistic simulators to generate data, evaluate algorithms, and study network behavior under dynamic conditions. Our ongoing project funded through NSF and RCF joint project provides a motivating public-safety communication context.


You will work closely with the PI and with international collaborators, and will take a leading role in mentoring PhD and Master's students while advancing your independent research profile.


The position requires

  • PhD in computer science, telecommunications / electrical engineering, or a related field
  • Excellent research track record in networking or MLLMs or LLMs
  • Demonstrated experience in building and designing simulation environments
  • Merit: Experience in developing algorithms for resource management
  • Ability to provide guidance and mentorship to doctoral researchers and master’s students, and collaborate with diverse research groups

 

What we offer

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 performance and reliability. The NSF-RCF joint project provides opportunities for visiting collaborators in North Carolina State University and Penn State University. The role is fully funded for 2 years, with the possibility of a longer stay.


You will receive a competitive salary, starting at approximately 4220 EUR / month for a postdoctoral researcher. The contract includes comprehensive occupational health benefits.

 

Application documents

To apply, please share the following application materials with us through our recruitment site ("Apply now!” button at the bottom of the page):

  • 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 directly address the requirements listed above)
  • Sample code for simulations, preferably on a code repository
  • Names and email addresses of those who could provide a reference letter (at least two are required). They will be contacted directly at a later stage in the application process.
  • Publication list with 1 or 2 key publications highlighted. At the end of the list, please describe in one paragraph the relevance of the highlighted publication(s) to the role.

 

Application process

The application deadline is December 30th, 2026 (23:59 EET). We will go through applications in batches, and we will invite suitable candidates to interview already before the application deadline. The position will be closed once the position is filled.

 

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions).

 

More information

For more information about the position, please contact Gopika Premsankar ([email protected]).  For questions about the application process, please contact HR Advisor Johanna Haapalainen at [email protected].

 

Why Finland and why this group

Aalto University provides a vibrant and collaborative environment. We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 16,000 students and 5,200 employees. Life at the campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good transport connections.


Finland is a great place for living – it is a safe, politically stable and well-organized Nordic society. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package


Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and check out our new virtual campus experience: https://virtualtour.aalto.fi

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.

Skills Required

  • PhD in computer science, telecommunications, electrical engineering, or a related field
  • Excellent research track record in networking, multimodal large language models, or large language models
  • Demonstrated experience designing and building simulation environments
  • Ability to guide and mentor doctoral and master’s students
  • Ability to collaborate with diverse research groups
  • Experience developing algorithms for resource management
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The Company
HQ: Espoo
7,500 Employees

What We Do

Aalto University is a multidisciplinary institution in Finland that integrates science, art, business, and technology to drive research and innovation. It focuses on fostering a sustainable future through interdisciplinary collaboration and academic excellence.

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