Category Archives: experienced

PH.D. GRADUATE ASSISTANTSHIP: THERMAL IMAGERY-BASED ANALYSES OF FISH HABITAT—UNIVERSITY OF MAINE, ORONO

Application Deadline: 12/31/2025

LOCATION: USA

The University of Maine (Orono, Maine) is pleased to offer a Ph.D. Graduate Assistantship: Thermal imagery-based analyses of fish habitat—University of Maine, Orono. The incumbent will develop a research project aimed at understanding the thermal environments experienced by cold-water species such as Atlantic salmon and brook trout in Maine.

ELIGIBILITY:

Qualifications: M.S. in biology, ecology, GIS, or similar; quantitative skills; interest in landscape and aquatic science; and excellent work ethics. Must have a desire to work in a collaborative and supportive graduate student community.  A GPA of 3.2+ is desired. 

Responsibilities: The incumbent will develop a research project aimed at understanding the thermal environments experienced by cold-water species such as Atlantic salmon and brook trout in Maine.  This may include areas of significant restoration importance, such as the Piscataquis River, and other regions with dams. There will be significant flexibility in developing study questions, and approaches using thermal imagery. Work may be collaboratively developed with national, international, and tribal researchers. Experience in field ecology, GIS and database management is desirable—a willingness to learn is a necessity. Good communication skills are essential.  The incumbent will work with many partners (State of Maine, federal, tribal and NGOs), and be responsible for frequent reporting. The student will be advised by both Drs. Christina Murphy and Joe Zydlewski.  One to two semesters of TA support are anticipated. All interested individuals, including non-traditional and underrepresented groups, are encouraged to apply. 

Contact: Please send a cover letter, CV, transcripts, three references (names and contact only) and GRE scores/percentiles (optional). Please direct questions and applications to Joe Zydlewski (email josephz@maine.edu) with the heading “Thermal”. 

Links: https://umaine.edu/mainecoopunit/; https://umaine.edu/graduate/ 

Closing date: Review will begin December 31, 2025, with an anticipated starting date of May 1, 2026, or as arranged. 

BENEFIT:

Salary: $30,000 per year, $3,157 health, and $7,241 tuition (estimated). Funding is renewed annually; 4.5 years is anticipated.  

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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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