Deadline:
As soon as possible
Location(s)
Finland Portugal
The candidates will be hired jointly by Nokia Bell Labs and: a. IT Portugal for PhD1; b. Tampere university for PhD2
Overview
Details
Why Choose Nokia Bell Labs for Your PhD?
- Collaborative Environment: Join a community where collaboration and innovation intersect, fostering a rich learning and research atmosphere.
- Expert Mentorship: Benefit from personalized guidance and mentorship from internationally recognized research and industry leaders.
- Advanced Resources: Gain wide access to cutting-edge laboratories, research tools, and resources to support your work.
- Impactful Research: Contribute to projects with real-world applications, making a tangible difference in society and your field of study.ommunity of scholars and researchers.
Responsibilities
Specifically, there are two PhD positions, as part of the MiFuture Marie Curie project that Nokia Bell Labs offers.
PhD Position 1: Pioneering the Future of - Joint positioning and spatial resource allocation for cell free systems.
Dive deep into the heart of positioning and resource allocation, where cutting-edge technology meets impactful research. This program offers a unique opportunity to contribute to groundbreaking work in 6G, under the guidance of leading experts in the field. You will not only push the boundaries of what's possible but also develop solutions that could revolutionize Telecommunications sector.
PhD Position 2: Transforming Cell-free systems in 6G Networks Through Machine Learning
Embark on a journey to redefine the landscape of Cell-free systems in 6G Networks via Machine Learning. This position is tailor-made for those passionate about 6G and Machine Learning, offering the chance to engage in high-impact research that addresses some of the most pressing challenges in wireless industry. With access to state-of-the-art facilities and a supportive academic environment, your work here will pave the way for new discoveries and technologies.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
We are looking for motivated candidates with a Master's degree in Electrical Engineering, Machine Learning or related fields, a strong academic record, and a passion for research and innovation. If you're ready to embark on this exciting journey, visit our website for more details on how to apply.
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
