Doctoral researcher position on Machine Learning for 6G

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our  community.

The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. The school is an international unit with close to 60 professors and 2 000 full-time students, including over 200 doctoral students.

Doctoral candidate in Machine Learning for 6G

Scientific context

Communications and sensing have traditionally operated independently, utilizing separate frequency bands and hardware. The integration of these technologies, known as integrated sensing and communication (ISAC), aims to enhance spectral, energy, and cost efficiency. ISAC technology is expected to play a significant role in 6G and beyond standards. This project employs artificial intelligence (AI) to design such solutions and establish theoretical foundations for ISAC.

Research group

As a doctoral candidate you will get to conduct high-quality research independently, and to work as an active member of the Statistical Machine Learning and Optimization group led by Professors Esa Ollila and Sergiy Vorobyov.  The group conduct research on statistical signal processing, estimation and detection theory, convex optimization, large scale data science, and wireless communications. The group belong to the Department of Information and Communication Engineering at the School of Electrical Engineering, Aalto University.

Your role ang goals

The Doctoral Researcher will join new Academy of Finland project AoF-ISAC  but the student can be involved in other projects as well.  AoF-ISAC is a unique collaborative research effort with international research partners from two Universities in US. The research will have strong theoretical, simulation, and possible experimental investigations with real channel data. As a PhD student you are expected to write high-quality scientific publications together with other members of the team. You will have possibilities to have long-term visits to our foreign collaborators in US.  During the doctoral studies  you will also present research findings at international conferences.   In addition to research work, person hired are expected to participate in teaching following the standard practices at the department.  

Qualifications

We expect the hired student to have:

• Strong mathematical background
• Excellent analytical, technical, and problem solving skills
• Solid knowledge and recently achieved M.Sc. degree (or have submitted his/hers Master thesis for assessment by the application deadline) in at least one of the following areas: signal processing, communications engineering, optimization, applied mathematics, statistics, or machine learning.  Previous experience of working on research projects or research groups is considered an advantage.
• Good command of written and spoken English
• Good interpersonal, organization, and communication skills

Preferably, the starting time is in the beginning of 2024 but can be negotiated.

For more information

Additional information regarding the post can be obtained from Prof. Esa Ollila  (firstname.lastname AT aalto.fi) .

How to apply

To apply for the position, please submit your application (in English) and attachments through our online recruitment system by using the link on Aalto University’s web page ("Apply Now”). Include the following documents:  

• Brief cover letter (max 2 pages) explaining your motivation and suitability for this position, and also indicating preferred starting date.
• CV (max four A4 pages) with a list of publications, if any
• PDF copy of your Master’s thesis or a link (URL) to a repository where it can be found.
• Degree certificates and academic transcripts
• Reference letters and contact details of two references.

All material should be submitted in English in pdf format. The application documentation will not be returned.

The deadline for applications is 22 December 2023. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period. 

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). Additional information from HR Advisor Monika Mäkinen, [email protected].

Duration and Salary

Aalto University applies the salary system of Finnish universities. Currently, the starting salary for doctoral students is 2703,13 EUR per month and is increased with the progress towards the doctoral degree. The doctoral project consists of writing at minimum three international journal articles and a summarizing thesis overview. In addition, 40 ECTS worth of studies are part of the degree. If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Doctoral studies at Aalto University take approximately four years and this position will be funded based on an initial 2-year contract + 2 years extension. 

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