Two doctoral researchers in digital twinning for optimized sensing and communication in 5G Advanced networks
The Department of Computer Science of the Faculty of Science is seeking two doctoral researchers to work on a project funded by Business Finland within the context of the 6G Bridge program. The 6G Bridge program aims to establish Finland as a global leader in providing new value with 5G Advanced and 6G technologies for sustainable industries and societies, such as smart cities, smart energy, smart ports, and smart factories, with various ecosystem players. One of the key applications of 6G networks will be massive twinning, which extends the digital twin concept introduced in 5G to various types of physical objects. This project contributes to the 6G Bridge vision and goals by developing a digital twin system for optimized sensing and communication in personal area networks and more advanced IoT networks. The project team, which consists of researchers from the University of Helsinki, will be advised by representatives from industry partners, including Nokia, Elisa, and Mevea.
The University of Helsinki seeks to promote an equitable and inclusive working environment and welcomes applicants from diverse genders, linguistic and cultural backgrounds.
One of the doctoral researcher positions will focus on researching, designing, and developing optimized software solutions that can be used interoperably in a wide range of smart devices to perform actionable data-driven insights for optimized sensing and communication tasks in IoT systems. The other doctoral researcher will research and develop an innovative digital twin framework that can assess, among other things, the efficiency and functionality of the corresponding physical IoT system through the use of AI-powered analytics.
Both positions will require the doctoral researchers to advance research in specific technological areas, such as computing and networking resource management, heterogeneous data source management, AI for IoT networks and systems. The doctoral researchers will be encouraged to design their own research projects within the scope of the overall project in collaboration with the PIs. High cooperation between the two doctoral researchers is a key requirement for the project's success. The successful candidates will be primarily supervised by Prof. Sasu Tarkoma and Dr. Roberto Morabito and will be offered fully funded contracts for up to three years.
Requirements and eligibility criteria
A successful candidate should have a master's degree in computer science, electrical engineering, or a related field. The candidate must have scientific curiosity and a meticulous work ethic. Based on the position of interest, prior experience in IoT, embedded and mobile operating systems, and/or cloud computing software is desirable. The candidate must have good organizational and time management skills and be able to work both independently and as part of a team. Excellent communication skills in English, both verbal and written, are expected.
Applicants who do not currently hold a doctoral study right in the Doctoral Programme in Computer Science (DoCS) at the University of Helsinki are eligible to apply, but in the event of hiring, they are expected to acquire the status during the standard 6-month probationary period. Please check the admission periods and eligibility criteria to DoCS: https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/doctoral-school-and-doctoral-programmes/doctoral-programmes-natural-sciences/doctoral-programme-computer-science/admissions-doctoral-studies.
Salary and Benefits
The starting salary of a doctoral researcher is typically 2400 - 2700 euros/month, depending on previous qualifications and experience.
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 the University of Helsinki´s recruitment system as a single PDF file in English, which should include the following documents:
- A motivation letter describing why you are the ideal candidate for this role (max. 2 pages)
- A curriculum vitae (max. 2 pages) including a list of publications (if any).
- Names and contact information of two referees, who are willing to provide reference letters upon request (optional).
We are eager to fill this position as soon as possible and therefore encourage early applications. However, the absolute deadline for submitting applications is March 31st.
For project and position related questions, please contact
- Roberto Morabito, roberto.morabito(at)helsinki.fi
For support with the recruitment system, please contact
- HR Specialist Jussi Hartikainen, jussi.a.hartikainen(at)helsinki.fi
The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits.
As a part of the Faculty of Science, the Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The number of professors at the department has grown in recent years and there are now 32 professorships. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate.