Pica Code R-2026-035 - Automatic multi-objective optimization of layout and control of transmission systems for agricultural tractors using evolutionary algorithms on HPC systems
25 Apr 2026
Job Information
- Organisation/Company
Unimore- Research Field
Engineering » Industrial engineering- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Application Deadline
11 May 2026 - 13:00 (UTC)- Country
Italy- Type of Contract
To be defined- Job Status
Not Applicable- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Develop and validate a multi-objective automatic optimization framework for exploring multiple transmission layouts and, in a subsequent phase, for control tuning and optimization, to identify the best trade-offs (Pareto-optimal solutions) among efficiency, maximum speed, tractive torque at the ground, and fuel consumption, leveraging High-Performance Computing (HPC) and the NSGA-II algorithm.
Where to apply
- Website
- https://www.unimore.it/it
Requirements
Additional Information
Eligibility criteria
Eligible destination country/ies for fellows:
- Italy
Eligibility of fellows: country/ies of residence:
- OTHER
Eligibility of fellows: nationality/ies:
- OTHER
Selection process
selective public procedure based on qualifications and interview
Additional comments
- Contact email: ufficio.selezioneassunzione@unimore.it
- Contact phone: 059/2056447-6075-7078
- Annual budget: 34667
- Frequency of calls: 12
- International mobility required: no
- Website for additional job details
https://titulus-unimore.cineca.it/albo/
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Unimore
- Country
- Italy
Contact
- City
Modena- Website
https://www.unimore.it/it
STATUS: EXPIRED
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