PhD Candidate in AI-enhanced monitoring for photovoltaic systems
Hochschule Luzern (HSLU)
Date de publication :
04 décembre 2024Taux d'activité :
100%Type de contrat :
Durée indéterminée- Lieu de travail :Horw
Tasks and job requirements
As part of SNF funded STAR-SOLAR project, the successful candidate will focus on the development of an AI-enhanced monitoring tool for predictive maintenance and efficiency of PV systems. This includes the development of AI algorithms and integration of IoT technologies to create a comprehensive monitoring system that can predict maintenance needs and optimize the performance of residential PV installations. The project will involve data collection, real-time performance analysis, and the implementation of advanced machine learning techniques. The main tasks will be:
- developing a predictive maintenance framework utilizing machine learning algorithms
- designing an IoT-integrated monitoring system for continuous performance assessment
- implementing and evaluating various anomaly detection algorithms to enhance reliability
- optimizing energy production through data-driven analytics
- assessing the economic impact of AI-driven maintenance solutions
- creating user-friendly interfaces to promote engagement and informed decision-making
- Interacting and collaborating with diverse industrial and research partners, including network service providers, energy market operators, start-up companies, large industrial companies, and other researchers at HSLU, across Switzerland and international
- ommunicating research results to a range of audiences, including industrial partners and the scientific community
Your profile
- Master's degree in electrical engineering, Computer Science, Renewable Energy, or a related field. Applications from Master students graduating before June 2025 are also welcome.
- strong programming skills (Python, R, etc.) and experience with machine learning frameworks
- knowledge of photovoltaic systems and renewable energy technologies
- excellent analytical and problem-solving skills
- strong communication skills and the ability to work collaboratively in an interdisciplinary team
- fluency in English. Any other national language is an advantage
Our offer to you
- a stimulating research environment at HSLU and G2Elab, with access to cutting-edge resources
- a chance to contribute to innovative solutions in renewable energy and sustainability
- opportunities for collaboration with national and international partners
- an opportunity to further develop your own ideas and position your research field
- participation in high-profile conferences, workshops and schools
- flexible working time and place
- Hochschule Luzern is committed to diversity at the workplace. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives
- attractive salary, in line with SNF standards
Inquiries
Prof. Dr. Antonios Papaemmanouil
Head of Electrical Engineering Institut
T +41 41 349 30 90
E-Mail schreiben
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