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Position: Doctoral Candidate (PhD student) in UAV-Assisted Communications for 6G Wireless Networks (M/F)
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: The successful candidate is expected to perform the following tasks: Carrying out novel research works in the domain of UAV-assisted communications for Beyond 5G/6G wireless networks; Disseminating results through scientific publications; Presenting results in the well-known international conferences and workshops
Requirements: The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering. Experience: The candidate should have some knowledge and experience in some of the following topics: 5G wireless communications technologies; Unmanned Aerial Vehicle (UAV) communications networks; Resource slicing and network slicing; Ultra-reliable and Low-latency Communications (URLLC); Radio resource allocation/management (e.g. power allocation, frequency assignment, scheduling, beamforming, etc.); Joint communication and control design; and be familiar with the principles of; Linear Algebra; Optimization techniques and tools; Statistical Signal Processing; Machine learning/deep learning; Programming skills: MATLAB, Python or C++. Language Skills: Fluent written and verbal communication skills in English are mandatory
   
Text: UOL03055 31-Dec-2099 Company Text The University of Luxembourg is a multilingual, international research University. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated PhD candidates in the general area of resource slicing for Unmanned Aerial Vehicle (UAV) networks within its SigCom research group. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information, you may refer to www.securityandtrust.lu The University of Luxembourg is continuously seeking to hire highly motivated and outstanding doctoral researchers to work on different enabling technologies for the next generation (Beyond 5G/6G) wireless communications networks for its Interdisciplinary Centre of Security and Trust (SnT), within the Signal Processing and Communications (SigCom) research group, led by Prof. Björn Ottersten and Prof. Symeon Chatzinotas. The SigCom research group at the SnT carries out research activities in the areas of signal processing for wireless communication systems including satellite communications and radar systems, and is rapidly expanding its research areas to various enabling technologies for beyond 5G/6G wireless networks. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom . Doctoral Candidate (PhD student) in UAV-Assisted Communications for 6G Wireless Networks (M/F) Ref: 50015373 36 months fixed-term contract, with a further 1-year possible if required Full time basis (40 hrs/week) Employee and student status Number of positions: 1 Your Role The successful candidate is expected to perform the following tasks: Carrying out novel research works in the domain of UAV-assisted communications for Beyond 5G/6G wireless networks Disseminating results through scientific publications Presenting results in the well-known international conferences and workshops Your Profile The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering. Experience : The candidate should have some knowledge and experience in some of the following topics: 5G wireless communications technologies Unmanned Aerial Vehicle (UAV) communications networks Resource slicing and network slicing Ultra-reliable and Low-latency Communications (URLLC) Radio resource allocation/management (e.g. power allocation, frequency assignment, scheduling, beamforming, etc.) Joint communication and control design and be familiar with the principles of Linear Algebra Optimization techniques and tools Statistical Signal Processing Machine learning/deep learning Programming skills: MATLAB, Python or C++. Language Skills: Fluent written and verbal communication skills in English are mandatory. For further information, please contact: Dr. Shree Krishna Sharma ( shree.sharma@uni.lu ). We offer The University offers highly competitive salaries and is an equal opportunity employer. Further Information The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, machine learning or a closely related field in Electronic, Electrical and Computer Engineering. Experience : The candidate should have some knowledge and experience in some of the following topics: 5G wireless communications technologies Unmanned Aerial Vehicle (UAV) communications networks Resource slicing and network slicing Ultra-reliable and Low-latency Communications (URLLC) Radio resource allocation/management (e.g. power allocation, frequency assignment, scheduling, beamforming, etc.) Joint communication and control design and be familiar with the principles of Linear Algebra Optimization techniques and tools Statistical Signal Processing Machine learning/deep learning Programming skills: MATLAB, Python or C++. Language Skills: Fluent written and verbal communication skills in English are mandatory. For further information, please contact: Dr. Shree Krishna Sharma ( shree.sharma@uni.lu ). Applications should be written in English and should include: Full CV, including: For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and date (or expected date) of graduation. Include the title and short summary of your final (Bachelor / Master) Thesis if you did one. List of publications (if any) Name, affiliation and contact details of three referees Transcript of all modules and results from university-level courses taken Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page). All qualified individuals are encouraged to apply. Deadline for applications: until we have found a candidate Please apply ONLINE formally through the HR system. Applications by email will not be considered. Early submission is encouraged as applications will be processed upon arrival.
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