20 beste Stellen als network in kanton waadt – aktuell auf Personalsuche

PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring
emploi.epfl.ch —Lausanne, VD
- Überstunden
- Doktorat
- Englisch
- Master
Business Development Manager– Cloud / Workplace / Full IT Outsourcing| Romandie
ELCA Informatique SA —Pully, VD
- 100%
- Englisch
- AWS
- SharePoint
Senior Cotton trader - Asia
StoneX Group —Lausanne, VD
- 100%
- Englisch
- Bachelor
- Verträge
Technicien(ne) en radio-oncologie
Swiss Medical Network —Genolier, VD
- 100%
- Englisch
- Bachelor
- Bloc opératoire
Senior Technical Officer- Biodiversity and Climate (GEF and GCF)
International Union for Conservation of Nature —Gland, VD
- 100%
- Spanisch
- Management-Erfahrung
- Englisch
2 Tage
Senior Distributed Systems Engineer (Robotics)
Embodied AI SA —Lausanne, VD
- Hybrides Arbeiten
13 Tage
Career Guidance Counselor (80%)
Nord Anglia Education —Pully, VD
- Spanisch
- Englisch
- Kommunikationsfähigkeit
Satellite Systems Engineer
Viasat —Lausanne, VD
- Management-Erfahrung
- Doktorat
- Master
Warehouse Support (m/f/d)
Fastenal Europe —Bex, VD
- 100%
- Vertrieb
- Englisch
- Kommunikationsfähigkeit
Direkt bewerben
3 Tage
Manager, Professional Education
Edwards Lifesciences —Nyon, VD
- 100%
- Management-Erfahrung
- Englisch
- Master
- Ausbildung am Arbeitsplatz
5 Std.
Hardware Engineer
Viasat —Lausanne, VD
- Doktorat
- Master
7 Tage
Consultant (AI-powered Digital Business Transformation)
ELCA Informatique SA —Pully, VD
- 100%
- Management-Erfahrung
- Englisch
- Führungserfahrung
Senior Engineer Cyber Security
ELCA Informatique SA —Pully, VD
- 100%
- Management-Erfahrung
- Englisch
- Master
Account Manager - Central Switzerland
Embecta —Kanton Waadt
- 100%
- Homeoffice
- Vertrieb
- Salesforce
- Englisch
Postdoc position on AI alignment and safe AI available at EPFL DLAB
emploi.epfl.ch —Lausanne, VD
- Ab CHF 88’000 pro Jahr
- Doktorat
- Englisch
- Master
Head of Library Services and Archives
emploi.epfl.ch —Lausanne, VD
- Management-Erfahrung
- Englisch
- Führungserfahrung
PhD Position in Microbial Physiology and Biotechnology: Physiology and Ecology of Methanogens
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Schreibfähigkeiten
- Laborerfahrung
9 Tage
PhD Student in (multi-agent) reinforcement learning for health-aware control
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Master
PhD - Multimodal Generative AI for Materials Design
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Master
Senior Consultant (AI-powered Digital Business Transformation) - Pully or Geneva
ELCA Informatique SA —Pully, VD
- 100%
- Management-Erfahrung
- Englisch
- Master

Ich möchte aktuelle Job-E-Mails für Stellen als network in kanton waadt erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

network jobs near kanton waadt

Jobs als Designer in Lausanne, VD

Jobs als System Engineer in Lausanne, VD

Jobs als Account Manager in Kanton Waadt

Jobs als Head Of Customer Service in Basel, Bs

Jobs als Head Of Customer Service in Zug, Zg

Jobs als Service Mitarbeiter in Zürich, Zh

Jobs als Of Oncology in Zürich, Zh

Jobs als Service Des Automobiles in Kanton Waadt

Jobs als Head Of Sustainability in Zürich, Zh

Jobs als Art Director, Creative Director, Designer in Bern Mittelland, Be

Jobs als Ux Ui Designer in Winterthour, Zh

Jobs als Designer in Kanton Aargau

Jobs als Ux Designer in Geneva, Ge

Jobs als Designer in Nyon, Vd

Jobs als Business Development Manager in Genève, Ge

Jobs als Business Development Manager in Home Office

Jobs als Business Entry Level in Zürich, Zh

Jobs als Business Analyst in Luzern, Lu

Jobs als Hr Business Partner in Basel, Bs

Jobs als Business Development Manager in Bern, Be

PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring

emploi.epfl.ch -
Lausanne, VD

Jetzt bewerben

Details zur Stelle

Befristet

Qualifikationen

Maschinenbau
Doktorat
Englisch
Master
Analysefähigkeit
Mechanikkenntnisse

Vollständige Stellenbeschreibung

IMOS

The Intelligent Maintenance and Operations Systems (IMOS) Lab at EPFL is looking for a motivated and out-of-the-box thinking PhD researcher, (100%, in Lausanne, fixed-term) starting in September or upon agreement.

Project description

The objective of this project is to develop novel methodologies based on physics-informed graph neural networks (PI-GNNs) to understand and model the impact of operational loads on system degradation at the compenent level in complex engineering systems, with a particular focus on wind turbines.

The research will focus on explicitly integrating physical laws, load dynamics, and degradation mechanisms into graph-based models, enabling a principled understanding of how operating conditions drive the evolution of system health over time. Particular emphasis will be placed on spatiotemporal modeling of interacting subsystems, where degradation emerges from coupled physical processes across components.

The project will explore how graph-based representations can capture:

the propagation of loads and stresses across interconnected components,
the accumulation of fatigue and damage under variable loading conditions, and
the interaction between structural dynamics and degradation processes.

A central aspect of the research is the incorporation of physics-based inductive biases into learning architectures. This will enable the development of models that are physically consistent, interpretable, and robust under varying operating conditions, going beyond purely data-driven approaches.

Applications will include complex industrial and energy systems, with a particular focus on wind turbines, where load conditions directly influence the degradation of critical components such as blades, gearboxes, and bearings. The developed methods will contribute to improving lifetime modeling, reliability assessment, and physics-informed predictive maintenance.

This PhD position is part of an ERC Consolidator Grant, supporting cutting-edge research on physics-informed AI, intelligent maintenance, and the modeling of degradation processes in complex systems.

Profile

We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Mechanical Engineering, Computational Mechanics, Engineering Science, Physics, Applied Mathematics, or a closely related field.

You should have a solid foundation in machine learning (e.g., deep learning) and mathematical modeling, including experience with dynamical systems or differential equations. A strong interest in modeling physical systems and degradation processes (e.g., fatigue, damage accumulation) is expected.

Experience with graph neural networks or spatiotemporal models is highly desirable, as well as familiarity with physics-informed approaches that incorporate physical inductive bias into learning models.

Knowledge of one or more of the following areas is considered a strong asset:

Physics-informed machine learning and hybrid modeling approaches
Computational mechanics, structural dynamics, or fatigue and damage modeling
Signal processing and analysis of measurement data from physical systems
Scientific machine learning or numerical methods for physical systems

Strong programming skills and the ability to work at the interface of machine learning and physics-based modeling of engineering systems are expected.

We expect the candidate to be self-driven, with strong problem-solving abilities and out-of-the-box thinking. Professional command of English (both written and spoken) is mandatory.

Work Environment

EPFL is one of the most dynamic university campuses in Europe, ranks among the top 20 universities worldwide and offers an exceptional working environment with very competitive salaries.

The IMOS Lab (https://www.epfl.ch/labs/imos/ ) offers a highly motivating, interdisciplinary scientific environment with many opportunities to interact across projects and researchers, and maintains an excellent network of collaborations with industrial stakeholders and leading international universities.

Application process

Formal applications including:

a letter of motivation
a CV of the candidate
brief research statement (one page) describing your project idea in the field of physics-informed graph neural networks for wind turbine health monitoring, making connections to your experience and related work from the literature
transcripts of all obtained degrees (in english),
one publication (e.g. thesis or preferably a conference or journal publication, a link is sufficient) should be submitted via the application platform.

Further information on EPFL IMOS Lab can be found under: https://www.epfl.ch/labs/imos/

Shortlisted candidates will be invited to apply to one of the EPFL doctoral schools (e.g. EDRS, EDCE or EDEE). This parallel application process is necessary to be eligible for a PhD at EPFL.

Informations

Activity Rate : 100.00

Contract Type: CDD

Duration: 1 year contract renewable (max. 6 years)

Reference: 2199

Jetzt bewerben

Erweiterte Suche

network Jobs in kanton waadt

PhD Student in Physics-Informed Graph Neural Networks for Wind Turbine Health Monitoring

Business Development Manager– Cloud / Workplace / Full IT Outsourcing| Romandie

Senior Cotton trader - Asia

Technicien(ne) en radio-oncologie

Senior Technical Officer- Biodiversity and Climate (GEF and GCF)

Senior Distributed Systems Engineer (Robotics)

Career Guidance Counselor (80%)

Satellite Systems Engineer

Warehouse Support (m/f/d)

Manager, Professional Education

Hardware Engineer

Consultant (AI-powered Digital Business Transformation)

Senior Engineer Cyber Security

Account Manager - Central Switzerland

Postdoc position on AI alignment and safe AI available at EPFL DLAB

Head of Library Services and Archives

PhD Position in Microbial Physiology and Biotechnology: Physiology and Ecology of Methanogens

PhD Student in (multi-agent) reinforcement learning for health-aware control

PhD - Multimodal Generative AI for Materials Design

Senior Consultant (AI-powered Digital Business Transformation) - Pully or Geneva

Ich möchte aktuelle Job-E-Mails für Stellen als network in kanton waadt erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt