University of Luxembourg PostGraduate and PostDoc Awards for International Students
The University of Luxembourg ranks as one of the best research universities with a distinctly multilingual and interdisciplinary character in Europe. It is currently ranked number 3 by the Times Higher Education worldwide for its “international outlook
Position:
PhD Candidate in Sociology
DUTIES:
The PhD applicant is expected to do the following:
- Prepare a cumulative PhD thesis in the domain of digitalization and life chances among young people (mainly based on quantitative analysis of YSL data)
- Participate in national and international conferences.
- Contribute to Luxembourgish Youth Report and other research publications.
- Engage in policy-relevant analyses and dissemination of results to stakeholders
- Contribute to the preparation and implementation of the next wave of the YSL 2023/24 (especially the module on digitalisation)
Eligibility:
- Master’s diploma, M.A. in sociology or another relevant discipline
- Experience in designing surveys and collecting data (e.g., using Qualtrics or similar)
- Experience in managing, and analysing survey data (e.g., using R, Stata)
- Strong interest in policy-relevant research
- Willingness to engage in teamwork in research groups
- Excellent command of at least two of the following languages: English, French, and German (written and spoken); Luxembourgish is considered an asset.
OFFER:
- Paid employment, 38,028 euros, yearly.
DEADLINE: Dec 31, 2022
How to apply:
All Applications should be submitted online and include:
- Motivation letter (max. two pages).
- Writing sample (e.g., M.A. thesis).
- Copies of diplomas.
- Names and contact details of two academic referees.
For further information, please contact:
Prof. Dr Robin Samuel / Tel.: (+352) 46 66 44 5084 Or this website
Position:
Spontaneous Applications for Next-Generation Radar Sensing Networks
DUTIES:
The SPARC group is looking for a Doctoral candidate to work in any of the aforementioned applications of next-generation radar networks. The research would be based on radar signal processing principles and would involve system modelling, the use of optimization or data-driven methods for system optimization and elaborate performance analysis. The PhD would focus on one of the following:
- Theoretical performance bounds on radar tasks in distributed radar networks with the use of large reflective surfaces and robust estimation algorithms.
- Novel high mobility joint radar and communication systems exploring novel architectures (ultra-massive MIMO, intelligent surfaces), and new modulation techniques exploiting available dimensions in next-generation sub-THz/ THz systems.
- Novel approaches to radar-based health monitoring, including vital sign monitoring in the absence of a controlled environment through the use of distributed sensors.
- erif; font-size: 12px;”>Novel algorithms and architectures for distributed point cloud processing for target detection, identification and tracking
- Statistical analysis of interference in radar networks.
- Novel radar-related applications include automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, and robotics.
- Novel methodologies for improving the performance of radar systems for weather applications, and dual-use radar systems.
Eligibility:
Applicants to this position are expected to possess (or be in the process of completing) a master’s degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics Physics with an electromagnetic background.
The ideal candidate should also have a good theoretical background in a number of the following topics:
- Radar Systems and Signal Processing.
- Multiuser MIMO.
- Communications, 5G.
- Signal Processing in Wireless Sensor Networks.
- Optimization methodologies.
- Information Theory.
- Machine Learning.
- Development skills in MATLAB/ python/ LabView are required and exposure to the latest communication and radar technologies, linear algebra and Tensors are desirable. Exposure to HW prototyping using USRPs and experience with radar sensors (FMCW, CW, pulse, …) would be a plus.
- Fluent in written and verbal.
OFFER: EUR 38,028
DEADLINE: Dec 31, 2022
How to Apply:
- Full CV, including a list of publications, bachelor/master thesis and names (and contact information including email addresses) of references.
- Transcript of all modules and results from university-level courses taken,
- Research statement and topics of particular interest to the candidate (300 words).
For further information please contact, Bhavani.Shankar@uni.lu
Or Mohammad.Alaee@uni.lu. You can also visit this website
Position: PhD positions in Finance
Eligibility:
The department of finance is looking for candidates with the following qualifications:
- A genuine interest in Finance, Economics or Statistics/Econometrics
- Excellent quantitative and computational skills
- A good command of written and spoken English
- Candidates who already hold a research-oriented Master’s Degree in Economics, Finance, Financial Engineering, Econometrics, Statistics or other related fields (ideally with a quantitative focus) may directly join the doctoral school.
- For other candidates, depending on the specific student’s degree, the full program or some additional courses of the MSc in Quantitative Economics & Finance (MScQEF) at the University of Luxembourg have to be completed in the first year.
- Candidates with a degree in Mathematics, Physics, Computer Science, Engineering or another quantitative subject are particularly encouraged to apply.
OFFER: EUR, 38,028
DEADLINE: Not Specified
How to Apply:
- A motivation letter
- A detailed curriculum vitae with details on concluded university studies including a list of quantitative courses completed at the master level.
- Transcript of university courses taken.
- The contact details of two or more academic references.
Further Information:
For further information, please contact phdfinance.application@uni.lu