Jobbeschreibung
The doctoral researchers will focus on the development of stochastic and data-driven methodologies to improve model predictivity and guide intervention measures on multiscale networks. In particular, the applications will deal with disease spread in human populations and cascade failure in power networks. The project will tackle fundamental challenges arising from modeling large-scale networks and integrate original ideas across machine learning and stochastic modeling to enable efficient yet high-fidelity predictions of complex network dynamics.
We are looking for two PhD students with strong analytical background, and MSc degree in Engineering, Applied Mathematics, Physics, or a related field. Professional command of English (both written and spoken) is mandatory. The successful candidates show enthusiasm for conducting original research and strives for scientific excellence. Prior exposure to stochastic models, machine learning, or network science would be highly desirable.
Work location is at the Laboratory of Multiscale Studies in Building Physics in Dübendorf, Switzerland. The PhD students will be enrolled in the EPFL doctoral school, under supervision of Prof. Jan S Hesthaven at the Chair of Computational Mathematics and Simulation Science .
We offer internationally competitive conditions, optimal computational and experimental facilities, and the opportunity to work in a multidisciplinary environment where communication and interaction to create synergies and develop novel ideas are highly valued. The positions will be available as soon as possible or upon agreement; the planned project is four years.
For further information about the positions please contact, Dr Hossein Gorji (Scientist and Principal Investigator) , Dr Ivan Lunati (Head of Laboratory at Empa) , or Prof. Jan S Hesthaven (Chair Professor at EPFL) , and visit our websites , and
We look forward to receiving your online application until 30 November 2022 including a letter of motivation, CV, diplomas with transcripts of all obtained degrees, a copy (either a link or upload) of the master thesis and additional publications (journal or conference papers) if available, and the contact details of two referees. Please upload the requested documents through our webpage. Applications via email will not be considered.
Empa, Patricia Nitzsche, Human Resources, Ueberlandstrasse 129, 8600 Dübendorf, Switzerland.
Extra Informationen
- Status
- Inaktiv
- Standort
- Dübendorf
- Jobart
- Karrierestarter
- Tätigkeitsbereich
- Chemie / Pharmazie
- Führerschein erforderlich?
- Nein
- Auto erforderlich?
- Nein
- Motivationsschreiben erforderlich?
- Nein
