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Phd Candidate in People-centred Design
il y a 3 semaines
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.
**Your role**:
This fully funded PhD position is focused on People-Centred Design (PCD) for Sustainable Construction. Your research will directly contribute to developing AI-driven tools and IoT-enabled systems that make buildings more energy-efficient, resource-efficient, and occupant-friendly. Potential areas of exploration include:
- AI-based decision-making techniques for sustainable construction practices
- Optimising energy usage and occupant comfort through IoT-enabled systems
- Integrating data-driven techniques with sustainable building standards for a holistic evaluation of building sustainability
- 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.
**Your profile**:
- Optimisation algorithms
- Machine learning algorithms
- Algorithmics
- Smart buildings
- Internet of things
- Parallel/Distributed computing
- 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 recommenders
- If available, link to GitHub repository including completed open-source projects
- Transcript of all modules and results from university-level courses taken
- General information:_
- Contract Type: Fixed Term Contract 36 Months (extendable to 48 months if required)
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Doctoral Researcher
- Job Reference: UOL07204
The yearly gross salary for every PhD at the UL is EUR 40952 (full time).
