Are you all about science and technology? Would you like to work in a meaningful role with real responsibility and excellent learning opportunities? Do you want to work with superb colleagues who are experts in their field to drive a sustainable future and tackle the greatest challenges of our time? VTT might be just the place for you.
VTT is one of the leading applied research organisations in Europe. What unites us are curiosity, a passion for learning, and a purpose: to solve the biggest challenges of our time and turn them into sustainable growth and well-being. Our cross-disciplinary community of over 2000 brilliant minds is focused on creating impact through science-based innovation. Get to know us further by exploring VTT’s research infra at VTT World.
We are now looking for a Master’s thesis worker to join our Autonomous Systems Connectivity team. Join us - and let’s make an impact together!
Our team, Autonomous Systems Connectivity, develops smart and reliable connectivity and computing solutions for autonomous and remote-controlled systems such as cars, ships, and drones. We also aim to increase the impact of our work by adapting the developed solutions for the needs of smart grids and critical communications.
We are a dynamic research team, located in Oulu and Espoo. We participate actively in national and international R&D projects and strive to support industry in Finland and at large to improve its efficiency, sustainability, and competitiveness.
As a Master’s thesis worker, your key goals are to do research on 5G and beyond 5G (e.g., 6G) communications and related enablers such as edge computing or positioning for future autonomous systems such as self-driving cars and unmanned aerial vehicles or drones.
In this position, you will work on our ongoing projects and collect material for your thesis from them. Actual tasks and topics will be defined in collaboration with the project managers based on your competencies and areas of interest. In general, they will be related to the exploration of new techniques for improving network performance and quality and/or positioning accuracy for selected use cases involving autonomous systems. The work will be technical and implementation and experimentation oriented, including performance (e.g., Quality of Service) testing, and validation of the developed solutions in a laboratory setting or even in real-life operating environments.
The work will be done under the supervision of a VTT senior researcher. You will produce a Master’s thesis written in English based on the work and results. Your thesis will help the projects and the team to communicate the research results to stakeholders.
The employment is full-time (partial part-time can be discussed if needed for completing studies), and temporary (9 months), but there might be a possibility for continuation, as we are also looking for a longer-term solution to our team’s resourcing.
We also appreciate prior knowledge of different related technologies, e.g., edge computing, MQTT, ML/AI, and an understanding of wireless system modelling and simulation.
Apply now and join our community of brilliant minds!
Please send your CV and application via our recruitment system as soon as possible but at the latest by 31 May 2022. We will process applications as they come in, and fill in the position as soon as we find the right candidate.
For further information, please contact Research Team Leader Tiia Ojanperä, email@example.com, 020 722 2077 on 10.5.2022 at 12-13 or 17.5.2022 at 12-13.
We look forward to hearing from you!
Location: Negotiable; Kaitoväylä 1, Oulu or Tietotie 3, Espoo
VTT is a visionary research, development and innovation partner. We drive sustainable growth and tackle the biggest global challenges of our time and turn them into growth opportunities. We go beyond the obvious to help the society and companies to grow through technological innovations. We have 80 years of experience of top-level research and science-based results. VTT is at the sweet spot where innovation and business come together.
VTT – beyond the obvious.