PhD Candidate in Sustainable Space

PhD Candidate in Sustainable Space

Körperich Doktorand 40952 - 40952 € / Jahr (geschätzt) Kein Home Office möglich
Université du Luxembourg

Auf einen Blick

  • Aufgaben: Join a team tackling sustainability challenges in space through innovative research and standardisation efforts.
  • Arbeitgeber: The University of Luxembourg is a leading international research university focused on innovation and interdisciplinary collaboration.
  • Mitarbeitervorteile: Enjoy a fully funded PhD position with a competitive salary and a vibrant, multicultural work environment.
  • Warum dieser Job: Contribute to groundbreaking research in sustainable space while collaborating with experts and presenting at international events.
  • Gewünschte Qualifikationen: MSc in Aerospace Engineering, Computer Science, or related fields; strong programming skills in Python and C/C++ required.
  • Andere Informationen: Applications are encouraged from diverse backgrounds; early application is recommended as processing begins upon receipt.

Das voraussichtliche Gehalt liegt zwischen 40952 - 40952 € pro Jahr.

Job Description

About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. 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. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

The "Technical Standardisation for trustworthy and sustainable ICT, Construction, and Aerospace" programme represents a strategic collaboration between Luxembourg Institute of Standardisation, Accreditation, Safety, and Quality of Products and Services (ILNAS) and SnT at the University of Luxembourg. This multidisciplinary initiative is aligned with Luxembourg's National Technical Standardisation Strategy 2024-2030 and emphasizes sustainability across various sectors. The programme includes cutting-edge research activities and promotes active contributions to international standardisation efforts.

As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD) for Sustainable Construction, and Sustainable Space. Each position addresses specific sustainability challenges through research and active contributions to standardisation efforts. Your role This fully funded PhD position focuses on Sustainable Space, addressing critical challenges such as orbital debris management, space traffic optimisation, or deep-space exploration.

Your research will contribute to advancing sustainable practices in space, including: Developing techniques for debris cleansing and avoidance in autonomous space systems Smart mobility solutions and trajectory optimisation for space traffic management Designing multi-swarm control strategies for deep-space exploration and resource utilisation Participate in relevant technical committees, consider the usage of standards, and contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems.

Detailed information about the group can be found on PCOG website . For further information, please contact Your profile The candidate should possess an MSc degree or equivalent in Aerospace Engineering, Computer Science, or any related engineering discipline The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms Machine learning algorithms Swarm intelligence Algorithmics Parallel/Distributed computing Space systems engineering, orbital mechanics, and satellite operations Technical standardisation Strong analytical and programming skills (e.g., Python and C/C++) are essential Language Skills: Fluent written and verbal communication skills in English are required We 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: Full CV, including: For each degree received or currently enrolled in, the degree, institution name, city, country, and date (or expected date) of graduation Title and a short summary of the final thesis List of publications (if any) Name, affiliation, and contact details of at least two references If available, link to GitHub repository including completed open-source projects Transcript of all modules and results from university-level courses taken Cover letter with motivations and topics of particular interest to the candidate (maximum 500 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. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Campus Internal Title: Doctoral Researcher Job Reference: UOL07205 The yearly gross salary for every PhD at the UL is EUR 40952 (full time).

PhD Candidate in Sustainable Space Arbeitgeber: Université du Luxembourg

The University of Luxembourg is an exceptional employer, offering a vibrant and multicultural work environment that fosters innovation and collaboration. As a PhD candidate in Sustainable Space, you will benefit from cutting-edge research opportunities, access to high-quality resources, and the chance to contribute to meaningful projects that address global sustainability challenges. With strong ties to industry and a commitment to employee growth, the university provides a unique platform for professional development in a dynamic urban setting.
Université du Luxembourg

Kontaktperson:

Université du Luxembourg HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: PhD Candidate in Sustainable Space

Tip Number 1

Familiarize yourself with the latest trends and challenges in sustainable space. This will not only help you during interviews but also show your genuine interest in the field.

Tip Number 2

Engage with the research community by attending relevant conferences or webinars. Networking with professionals in the field can provide insights and potentially lead to recommendations.

Tip Number 3

Consider contributing to open-source projects related to space systems or optimization algorithms. This hands-on experience can enhance your profile and demonstrate your skills effectively.

Tip Number 4

Stay updated on the work being done at the Parallel Computing and Optimisation Group (PCOG). Understanding their current projects can help you tailor your discussions and show how you can contribute.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD Candidate in Sustainable Space

Optimisation Algorithms
Machine Learning Algorithms
Swarm Intelligence
Algorithmics
Parallel Computing
Distributed Computing
Space Systems Engineering
Orbital Mechanics
Satellite Operations
Technical Standardisation
Strong Analytical Skills
Programming Skills (Python, C/C++)
Fluent English Communication Skills
Research Skills
Presentation Skills

Tipps für deine Bewerbung 🫡

Understand the Research Focus: Familiarize yourself with the specific research areas mentioned in the job description, such as orbital debris management and space traffic optimization. This will help you tailor your application to demonstrate your relevant knowledge and interest.

Craft a Compelling Cover Letter: Your cover letter should clearly outline your motivations for applying and highlight topics of particular interest related to Sustainable Space. Keep it concise, within the 500-word limit, and ensure it reflects your passion for the field.

Highlight Relevant Experience: In your CV, emphasize any experience or knowledge you have in optimization algorithms, machine learning, or space systems engineering. Include specific projects or coursework that align with the PhD focus.

Prepare Your References: Select at least two references who can speak to your academic and research capabilities. Ensure you provide their name, affiliation, and contact details as required in the application.

Wie du dich auf ein Vorstellungsgespräch bei Université du Luxembourg vorbereitest

Show Your Passion for Sustainability

Make sure to express your enthusiasm for sustainable practices in space. Discuss any relevant projects or research you've done that align with the role's focus on sustainability, such as orbital debris management or smart mobility solutions.

Demonstrate Technical Knowledge

Be prepared to discuss your understanding of optimization algorithms, machine learning, and swarm intelligence. Highlight any experience you have with programming languages like Python or C/C++, as these skills are essential for the position.

Engage with the Research Group's Work

Familiarize yourself with the Parallel Computing and Optimisation Group's research. Mention specific projects or techniques they use and how your background can contribute to their ongoing work in distributed computing and AI-driven solutions.

Prepare Questions About Standardisation Efforts

Since the role involves contributing to standardisation documents, come prepared with questions about the technical committees you'll be participating in. This shows your proactive interest in the collaborative aspects of the research programme.

PhD Candidate in Sustainable Space
Université du Luxembourg
Université du Luxembourg
  • PhD Candidate in Sustainable Space

    Körperich
    Doktorand
    40952 - 40952 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-18

  • Université du Luxembourg

    Université du Luxembourg

    1000 - 5000
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