PhD Student in Trustworthy AI for Autonomous Plant Operations — EPFL
- Località
- Lausanne
- Contratto
- full-time
- Pubblicato
- Ieri
Panoramica
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 November or upon agreement. PROJECT DESCRIPTION
The objective of this project is to develop a trustworthy AI framework for the autonomous operation of process plants.
The research will focus on AI agents that monitor the plant state, detect and diagnose abnormal situations, and recommend or execute operating actions, while meeting the safety, reliability and transparency requirements of safety-critical environments.
- 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 November or upon agreement. PROJECT DESCRIPTION
- The objective of this project is to develop a trustworthy AI framework for the autonomous operation of process plants.
Processo di candidatura
- Applications will include complex process plants, where autonomous decisions directly affect safety, product quality and asset lifetime. 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. CANDIDATE PROFILE
- We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field.
- You should have a solid foundation in machine learning and strong programming skills (Python, deep learning frameworks such as PyTorch), ideally with experience in one or more of the following: large language models and agentic AI, uncertainty quantification, anomaly detection and fault diagnosis, or decision-making under uncertainty.
- Prior experience with process systems engineering or process control, physics-informed or hybrid modeling, explainable AI, or the verification and safety assurance of learning-based systems is considered a strong asset, as is experience with industrial time-series data or process simulators.
- 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. Formal applications including: a letter of motivation, a CV of the candidate,
Contatti
- For more information, please contact: [email protected]
Dettagli ulteriori
- 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 November or upon agreement. PROJECT DESCRIPTION
- Applications will include complex process plants, where autonomous decisions directly affect safety, product quality and asset lifetime.
- 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.
- Professional command of English (both written and spoken) is mandatory. APPLICATION PROCESS Formal applications including: a letter of motivation, a CV of the candidate,
- Contract Start Date: 01.11.2026 Activity Rate Min: 100 Activity Rate Max: 100 Duration: 1 year renewable
Note e contenuto originale
- 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 November or upon agreement.
- PROJECT DESCRIPTION
- WORK ENVIRONMENT
- CANDIDATE PROFILE
- Professional command of English (both written and spoken) is mandatory.
- APPLICATION PROCESS
- Formal applications including:
- a letter of motivation,
- a CV of the candidate,
- Contract Start Date: 01.11.2026
Domande frequenti su questo annuncio
Che stipendio offre EPFL per questa posizione?
EPFL indica CHF 60'500 - 91'500 lordi annui per questo ruolo a Lausanne. Questo è lo stipendio pubblicato nell'annuncio originale (o, quando il datore non specifica una cifra, una stima realistica per ruolo e settore) — il calcolatore di questo sito lo converte nel netto reale una volta applicate imposta da frontaliere e contributi sociali.
È un ruolo a tempo pieno, e che tipo di contratto offre EPFL?
Questo annuncio è una posizione a tempo pieno. Il tipo di contratto mostrato qui arriva direttamente dall'annuncio originale del datore di lavoro; conferma sempre orario esatto, preavviso e durata del periodo di prova con EPFL durante il colloquio, perché questi dettagli possono variare anche all'interno della stessa categoria contrattuale.
Serve un permesso da frontaliere per un ruolo nel canton Vaud?
I residenti UE/AELS nella zona di frontiera del paese confinante con il canton Vaud possono richiedere il Permesso G; il datore di lavoro svizzero lo presenta all'ufficio della migrazione di quel canton dopo la firma del contratto. Regole sulla zona di frontiera e tempi di lavorazione variano per paese confinante e canton — verifica i dettagli con l'ufficio della migrazione del canton Vaud o con HR durante il colloquio.
Come mi candido a questa posizione presso EPFL?
Usa il pulsante "Candidati ora" in questa pagina — rimanda direttamente all'annuncio originale di EPFL su careers.epfl.ch, quindi la tua candidatura arriva direttamente nel sistema di gestione candidature del datore di lavoro. Frontaliere Ticino non raccoglie né inoltra candidature in proprio.
