Tag Archives: YE

UNICEF CLIMATE INNOVATION TECH START-UPS CHALLENGE

Application Deadline: 21 October, 2025

LOCATION: Multiple Regions

UNICEF is launching a call for solutions from emerging markets in collaboration with India Health Fund (IHF), and the Cambridge Institute for Sustainability Leadership (CISL). To maximize impact, UNICEF will foster collaboration between early-stage frontier tech ventures and help scale proven climate adaptation solutions. This dual track approach seeks to drive impact and provide long-term sustainability. 

They also invite value-aligned partners to support innovation challenges, design sprints and deliver strategic technical assistance to build greater equity and trust across technological solutions. 

ELIGIBILITY:

Companies need to fulfil the following mandatory selection criteria to be considered:

be registered as a private for-profit company

be registered in a UNICEF programme country (See the list of eligible countries here)

have a working prototype or minimum viable product of the proposed solution, ideally, showing promising results

be open source or willing to be open source

have the potential to positively impact the lives of the most vulnerable children

generate publicly exposed real-time data that is measurable 

BENEFIT:

The UNICEF Venture Fund has been specifically designed to finance early-stage, open-source technology that can benefit children. The core motivation of the UNICEF Venture Fund is to identify “clusters,” or portfolios of initiatives around emerging technology, so that UNICEF can both shape markets and learn about and guide these technologies for children. They invest in solutions clustered around $100 billion industries in frontier technology spaces such as blockchain, virtual and augmented reality, machine learning and AI.

APPLY

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).

APPLY