Category Archives: Jobs

CALL FOR EXPRESSION OF INTEREST – INTERNSHIP PROGRAMME FOR FAO HEADQUARTERS (HQ)

Application Deadline: 31/Dec/2025, 11:59:00 PM

LOCATION: Italy-Rome

The Food and Agriculture Organization of the United Nations (FAO) leads international efforts to defeat hunger and to achieve food security for all and make sure that people have regular access to enough high-quality food to lead active, healthy lives. With 195 Members, FAO works in over 130 countries worldwide. We believe that everyone can play a part in ending hunger. 

The Internship Programme aims to attract talented young women and men who are strongly motivated to share their new perspectives, innovative ideas, and latest academic experience in FAO’s domains. The Programme provides a learning opportunity to the participants to supplement their academic knowledge with a practical work assignment in a field related to the work of FAO

ELIGIBILITY:

Enrolled in an undergraduate or graduate degree programme in a “bona fide” educational institution at the time of application or a recent graduate. Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU)/United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed at http://www.whed.net/
Candidates must specialize in a field relevant to the mission and work of FAO.
Working knowledge of at least one FAO language (Arabic, Chinese, English, French, Russian or Spanish). Knowledge of a second FAO language will be considered an asset. 
Be nationals of FAO Members
Candidates should be aged between 21 and 30.

Candidates should be able to adapt to an international multicultural environment and have good

To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and include your employment records, academic qualifications and language skills.
You are requested to attach a letter of motivation, the evidence of attendance in a recognized university or copy of your academic qualifications to the online profile.
Once your profile is completed, please apply and submit your application through the FAO recruitment portal. Only applications received through the FAO recruitment portal will be considered.
Your application will be screened based on the information provided on your online profile.
Please note that FAO will only consider academic credentials or degrees obtained from an educational institution recognized in the IAU/UNESCO list.
Incomplete applications will not be considered.
Candidates who are not selected before the closing date and wish to be continuously considered for an assignment are requested to reapply to the new Calls.
We encourage applicants to submit the application well before the deadline date.

If you need help, or have queries: https://fao.service-now.com/csp

BENEFIT:

FAO provides a monthly stipend to interns if they are not sponsored by sending universities or other entities.

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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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