PhD Candidate in Energy Storage Rightsizing for Electric Buses

About the SnTThe 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 SecurityInformation AssuranceModel-driven SecurityCloud ComputingCryptographySatellite SystemsVehicular NetworksICT Services & ApplicationsThis industrial PhD position is part of the "Autonomous systems for Land, Air and Space" (ATLAS) IPGB Programme co-funded by the FNR, SnT and a consortium of industrial partners and administrations, including Volvo Buses e-Bus Competence Center, Emile Weber, GomSpace, Gradel, IEE, Nexxtlab, Telindus and Ville de Luxembourg.
For more information on the ATLAS IPBG Programme, see here:

/edu.lu/wwpy7Your roleThe successful candidate will join the PCOG Research Group, led by Dr.
Grégoire Danoy, in collaboration with the UBIX Research Group, led by Prof.
Raphaël Frank.
Thanks to the partnership with the Volvo e-Bus Competence Center, the student will work with the latest technologies in the field of electrification, address real-world challenges and apply the findings in practice.
Frequent training visits to Volvo headquarters in Gothenburg, Sweden, are foreseen.This PhD project addresses the question of the optimal setup on an electric bus, with primary focus on the battery and charging methods.
The current lack of knowledge regarding energy consumption models has led to the prevalent but inefficient strategy of oversizing batteries, resulting in unnecessary costs and environmental externalities.
The project aims to develop advanced learning mechanisms, using real-world data from electric bus fleets and applying federated learning to create energy consumption models that account for variable operating conditions, such as ambient temperature and door opening patterns.
Additionally, it will explore how automation-both at the local (bus) and global (fleet) levels-can contribute to energy reduction, investigating whether isolated or system-level automation offers the greatest benefits.You will be required to perform the following tasks:
Carrying out research in the predefined areasDisseminating results through scientific publicationsCommunicate and interact with the partner's team to collect requirements and report resultsImplement and open-source proof-of-concept software toolsCollaborate with other researchers of the IPBG ATLAS programmeFor further information, please contactYour profileQualification:
The candidate should possess an MSc degree or equivalent in Computer Science or any related engineering discipline.Experience:
The ideal candidate should have some knowledge and/or experience in several of the following topics:
Optimisation and/or machine learning algorithmsDistributed AI (e.g., swarm intelligence, federated learning)Data Analytics and ManagementStatistic models / processing / analysisStrong analytical and programming skills are required (Python and C/C++).
Prior proven experience in data-driven innovation projects is an asset.
Most importantly, you should be curiosity driven and willing to constantly learn new things!Language Skills:
Fluent written and verbal communication skills in English are required.We offerMultilingual 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 …But wait, there's more! Complete picture of the perks we offer! Discover our Partnership Programme.How to applyApplications should include:
Full CV, including:
For each degree received or currently enrolled in, the degree, institution name, city, and country, and date (or expected date) of graduationTitle and short summary of final thesisList of publications (if any)Name, affiliation, and contact details of at least two recommendersIf available, link to GitHub repository including completed open-source projectsTranscript of all modules and results from university-level courses takenCover letter with motivations and topics of particular interest to the candidate (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 MonthWork Hours:
Full Time 40.0 Hours per WeekLocation:
Kirchberg CampusInternal Title:
Doctoral ResearcherJob Reference:
UOL06852The yearly gross salary for every PhD at the UL is:
EUR 40952 (full time).
•