Tag Archives: PhD Research

PRIVACY-PRESERVING HUMAN ATTENTION TRACKING FOR HUMAN ROBOT COLLABORATION PHD STUDENTSHIP AT ASTON UNIVERSITY

Application Deadline: 19th December 2025  23.59 UK time

LOCATION: United Kingdom

Applications are invited for a PhD studentship (home or overseas) at Aston University in developing privacy-preserving human attention tracking systems for human-robot collaboration (HRC). You will join the Department of Applied AI and Robotics as a PhD student and conduct cutting-edge interdisciplinary research.

The position is available to home and overseas (international) students.

ELIGIBILITY:

Candidates should have been awarded, or expect to achieve, EITHER:

A Bachelors degree in a relevant subject with an award of First Class or 2.1. 

OR 

A Bachelors degree in a relevant subject with an award of First Class or 2.1, and a Masters degree in a relevant subject with an award of Merit or higher.

Qualifications from other countries which are considered by Aston University to be equivalent to that described above will be eligible to apply.

Applicants are expected to have a degree in a relevant scientific or technical discipline, such as computer science, physics, mathematics, and engineering. Applicants are expected to be fluent in spoken and written English, Python, and a Machine Learning framework. Experience of sensor data processing or robots are desirable. The successful candidate will join the Aston Centre for Artificial Intelligence Research and Application (ACAIRA) and Smart and Sustainable Manufacturing Research Centre (SMRC) with opportunities for interdisciplinary and international collaboration.

We can only consider applications that are complete and have all supporting documents. Applications that do not provide all the relevant documents will be automatically rejected. Your application must include:

English language copies of the transcripts and certificates for all your higher education degrees, including any Bachelor degrees.

A Research Statement detailing your understanding of the research area, how you would approach the project, and a brief review of relevant literature. Be sure to use the title of the research project you are applying for. There is no set format or word count.

A personal statement that outlines any further information that you think is relevant to your application, such as your personal suitability for research, career aspirations, possible future research interests, and further description of relevant employment experience. 

A Curriculum Vitae (Resume) which details your education and work history.

Two academic referees who can discuss your suitability for independent research. References must be on headed paper, signed and dated no more than 2 years old. At least one reference should be from your most recent University. You can submit your references at a later date if necessary.

Evidence that you meet the English Language requirements. If you do not currently meet the language requirements, you can submit this at a later stage.

A copy of your passport. Where relevant, include evidence of settled or pre-settled status.

Alternatively, apply here.

If you require further information about the application process, please contact the Postgraduate Admissions team at pgr_admissions@aston.ac.uk

BENEFIT:

This position is self-funded. A partial fee waiver may be available for exceptional applicants.

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PHD CANDIDATE FOR RADAR-BASED 4D IMAGING WITH ADVANCED MASSIVE-MIMO SIGNAL PROCESSING

LOCATION: Luxembourg

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. The research, called “R4DAR,” aims to leverage emerging 4D imaging technology with Massive MIMO to create image-like radar observations in a more feasible way. The project focuses on addressing existing gaps in knowledge of Massive MIMO for radar, functional limitations, and sensing robustness while incorporating new features and achieving lower system costs.

More information on the project: https://radarmimo.com/4d-imaging-automotive-mimo-radar/

ELIGIBILITY:

Your profile:

The candidate should possess (or be in the process of completing) an MSc degree or equivalent in Electrical/Electronic Engineering, Computer Science, Applied Mathematics, or Physics with an electromagnetic background

Strong theoretical knowledge in some of the following areas:

Radar Systems and Signal Processing

Optimization methodologies

Machine Learning and Deep Learning

Development skills in MATLAB/Python/C++ are required

Exposure to the latest signal processing techniques, linear algebra, and deep learning is desirable

Experience with hardware prototyping using mmWave radar sensors and USRPs is a plus

Fluent written and verbal communication skills in English are required

The offer:

Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)

A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure

A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply:

Applications should include:

Curriculum Vitae – including a list of publications, bachelor/master thesis, and names (with contact information including email addresses) of references

Cover letter

Transcript of all modules and results from university-level courses taken

Research statement and topics of particular interest to the candidate (300 words)

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

The selected PhD candidate will work on one of the following research topic:

Optimal antenna placement and waveform design for Massive MIMO 4D imaging radar sensors

This PhD research will focus on optimizing antenna placement and waveform design for Massive MIMO 4D imaging radars. It will involve investigating different optimization tools, antenna configurations, and waveform parameters to maximize the radar system’s performance regarding accuracy, resolution, and range.

Structure and methodology:

The PhD student will receive guidance from the advisory committee on prior-art and challenges in Massive MIMO 4D imaging radar

They will address these challenges by optimizing waveforms and antenna placements

Expected Outcomes:

The PhD student will be the first author on at least two journal publications and four conference publications

The student will support validation activities by demonstrating the effectiveness of their research in real-world applications

The ideal candidate should have a strong background in radar technology, antenna design, and signal processing. Excellent programming skills, particularly in MATLAB or Python, would be beneficial.

BENEFIT:

Contract Type: Fixed Term Contract (36 Months)

Work Hours: Full Time 40.0 Hours per Week

Location: Kirchberg Campus

Internal Title: Doctoral Researcher

Job Reference: UOL07523

The yearly gross salary for every PhD at the UL is EUR 41976 (full time).

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