The Department of Computer Science of the Faculty of Science is seeking a POSTDOCTORAL RESEARCHER in data efficiency techniques for mobile networks.
The position is a joint project together with Nokia Bell Labs (Network Systems and Security Research Lab, Network Operation department).
Efficient processing of continuous data streams is vital for real-time analytics and decisions. Techniques like data pruning and redundancy detection are key to streamlining this process by cutting down on computational and bandwidth demands. This project aims to evaluate and identify the most effective methods for managing these data streams to improve real-time data processing. Additionally, it explores how tasks should be optimally distributed across different computing resources—such as edge and cloud—to balance resource use, latency, privacy, costs, and system complexity. The insights gained will be crucial for the development and standardization of future RAN technologies like Open RAN which will be used in 5G and 6G networks.
The position will require the postdoctoral researcher to advance research in specific technological areas related to ML/AI and data science, and more specifically to Machine Learning approaches for processing and learning from data streams. The researcher will engage in joint efforts with the Nokia Bell Labs research group, contributing to the development and direction of their research agenda to support cutting-edge industry innovation.
The candidates will be primarily supervised by Prof. Sasu Tarkoma (University of Helsinki) and Dr. Kimmo Hätönen (Nokia Bell Labs) and will be offered a fully funded contract for one year, with the possibility of extension for one more year. Research activities will be conducted at both the Department of Computer Science of the University of Helsinki (Gustaf Hällströmin katu 2b, 00014) and the Nokia Bell Labs offices in Espoo (Karakaari 7, 02610).
Requirements and eligibility criteria
A successful candidate should have a PhD (or equivalent title) in computer science, electrical engineering, or a related field with a specialization in Machine Learning. The project will adopt an agile development methodology and the candidate must possess scientific curiosity, a meticulous work ethic, and the flexibility to work effectively in both academia and industry setups and be ready to divide his presence between university and Nokia Bell Labs offices. The candidate must demonstrate good organizational and time management skills, be capable of working both independently and collaboratively within a team and be ready at adjusting to the iterative evaluation and potential directional shifts after each sprint. The candidate is expected to support teaching activities at the University in the course related to this project. Excellent communication skills in English, both verbal and written, are essential. The University of Helsinki is committed to fostering an equitable and inclusive working environment and encourages applications from individuals of diverse genders, linguistic, and cultural backgrounds.
Salary and Benefits
The starting salary of the postdoctoral researcher will be 3700–3900 euros/month, depending on the appointee's previous qualifications and experience. A trial period of 6 months will be applied.
The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers.
How to apply
Please submit your application in a single PDF file in English, which should include the following documents:
- A motivation letter explaining why you are the ideal candidate for this role, given the context and objectives of the position (max. 2 pages).
- A curriculum vitae (max. 5 pages), complete with a list of publications, especially emphasizing those relevant to the research subject of the position (max. 5 publications).
- Names and contact information of at least two referees who are willing to provide reference letters upon request or may be contacted directly for further information regarding the candidate's qualifications and experience.
- Applications must be submitted through the official application portal only by clicking on the "Apply now" button. Please note that applications or any related materials sent via email will not be considered.
We aim to fill the position as soon as possible and therefore encourage early applications. However, the latest deadline for submitting applications is December 31st.
For project and position related questions, please contact:
For support with the recruitment system, please contact: