Job Information
- Organisation/Company
- Politecnico di Milano
- Department
- Mechanical Engineering
- Research Field
- EngineeringEngineering » Materials engineeringEngineering » Mechanical engineering
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Italy
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 40
- Is the job funded through the EU Research Framework Programme?
- H2020 / ERC
- Reference Number
- GAP-101044228
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
I am looking for a highly motivated Post-doc applicant to work on an interdisciplinary research project involving computational mechanics and machine learning for structural design. The project is part of an ERC-2021-CoG research project ArcHIDep (Revolutionary solid state deposition system to obtain heterogeneous materials).
The deadline for application is end of December 2022 and the expected start date is early February 2023. The position will have a 1+1-year contract covering the stipend, and health insurance.
Minimum Qualifications:
PhD degree in Mechanical Engineering, Materials Science, Aerospace Engineering or closely related fields.
Finite Element simulation experience using Abaqus, or Ansys, etc.
Programming experience in MATLAB, Python or etc.
Machine learning model development
Strong analytical and quantitative skills
Fluency in English, both spoken and written
Preferred Qualifications:
Research background in multiscale computational modelling
Research background in computational fluid dynamics
Contact info
Applications are encouraged to contact Dr. Bagherifard directly at sara.bagherifard@polimi.it, including their CV, and a short (one paragraph) statement on their background and interest in the field. The subject of the email should be “Post-doc Application-candidate’s name and surname”.
Requirements
PhD degree in Mechanical Engineering, Materials Science or closely related fields.
Finite Element simulation experience using Abaqus, or Ansys, etc.
Programming experience in MATLAB, Python or etc.
Machine learning model development
Strong analytical and quantitative skills
Fluency in English, both spoken and written
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Politecnico di Milano
- Country
- Italy
- City
- Milan
- Geofield
Where to apply
- sara.bagherifard@polimi.it
Contact
- City
- Milano
- Website
- Street
- Via La Masa, 1
- Postal Code
- 20156
- sara.bagherifard@polimi.it