Buscar empleo: 97 ofertas de trabajo Jornada parcial de Moda en Ciudad Lineal (octubre 2025)

IKERLAN

Marie Curie – PATRON – The Doctoral Network on Prognostics and health management of next Generation

hace 1 día

Madrid

HORIZON FRAMEWORK PROGRAMME Marie Skłodowska Curie European Training Network IKERLAN, in Arrasate, Spain, will have an open PhD position in the frame of the European Training Network on Prognostics and heAlth management of nexT GeneRatiOn drivetraiNs (“PATRON”), funded by the European Commission through the HORIZON “Marie Skłodowska-Curie Innovative Training Networks” (ITN) program. The objective of the PATRON project is to develop Prognostics and Health Management methodologies for the new generation of drivetrains, answering to the hot European industrial needs, by developing ground-breaking monitoring approaches, bridging Signal Processing, Physical Modelling, Artificial Intelligence and Tribology. This objective will be achieved by having 10 early-stage researchers (ESR). The ESR will become part of the Mechanical reliability team of IKERLAN and it will be enrolled as a PhD student in the MU-MGEP doctorate school. PhD Project Description The early-stage researcher (ESR) will develop advanced methodologies for RUL (remaining useful life) estimation of 4.0 drivetrains based on reliability evaluations. The doctoral candidate (DC) will focus on the analysis of a specific failure behaviour of rotating machinery assets during operation under uncertain conditions, targeting to the estimation of the RUL. The evaluation will consider the uncertainties coming from different sources like material properties, manufacturing effects and/or operation conditions. The results will be validated with experimental results from scaled tests under controlled conditions. Timeline and Remuneration The incorporation of the doctoral student will be immediate. The Marie Curie grant foresees funding for a duration of 3 years. Furthermore, in order to stimulate intersectoral and international mobility, the ESR will have short research visits (so-called “secondments”) to at least two Beneficiary/Partner Organizations (with the secondments not exceeding 30% of the duration of the doctoral training). The remuneration is generous and will be in line with the EC rules for Marie Curie grant holders. It consists of a salary augmented by a mobility allowance and/or family status, resulting in a gross annual salary of about 33.698-38.1782 (14 payments). A permanent contract from Monday to Friday, along with a flexible schedule and a very calendar. Possibility of teleworking up to 2 days a week and even a third day at one of our offices closest to your home. Work in a young environment where you can breathe and feel the technology of the future . Have at your disposal people with great knowledge in the matter willing to help you in your development . Have top-level laboratories at your disposal. Requisitos: Candidate Profile Applicants must have a MSc degree or equivalent in Industrial Engineering or related field which will qualify for starting a PhD program in the University of MU-MGEP. In addition, they must have: Interest to develop and implement a long-term research program leading to a PhD. Capability to work independently and in a team. Fluent in spoken and written English. Very strong interest in machine learning. Knowledge of mechanical reliability methodologies Experience with computing and high-level programming skills with Phyton and Matlab. Marie Curie eligibility Criteria To be eligible, you need to be an "early stage researcher" i.e. simultaneously fulfill the following criteria at the time of recruitment: Mobility: you must not have resided or carried out your main activity (work, studies, etc...) in Spain for more than 12 months in the 3 years immediately prior to your recruitment under the PATRON project. Qualifications and research experience: be a doctoral candidate (i.e. not already in posesión of a doctoral degree).

Trabajos Moda en Ciudad LinealCrear alertasJornada parcial

Búsquedas de empleo más populares en Ciudad Lineal