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[Sponsors] |
Job Record #19070 | |
Title | Researcher on Li-ion recycling processes modeling |
Category | Job in Academia |
Employer | Fondazione Bruno Kessler |
Location | Italy, TN, Trento |
International | Yes, international applications are welcome |
Closure Date | Tuesday, April 02, 2024 |
Description: | |
Job Description The position offered concerns mainly the development and validation of models for Li-ion material recycling processes. The candidate will provide support to the Battery and Electrification Technologies (BET) unit in both European and national projects related to Li-ion batteries and redox flow batteries. This position is offered in the frame of the FREE4LIB Horizon Europe project. The candidate will also contribute to the European Battery Innovation IPCEI project (https://www.ipcei-batteries.eu) aiming at the development of next-generation battery technologies. The activities of the successful candidate will focus on: ● development and validation of models (mainly physics-based or hybrid) for the different chemical processes involved in Li-ion battery recycling (e.g., black mass production, leaching, precipitation, liquid-liquid extraction); ● development and validation of physics-based Li-ion cells models for different chemistries; ● supporting the development of redox flow batteries multiphysics models (at cell or stack level); ● supporting cell testing that will provide inputs for the models. The ideal candidate should have: ● PhD Degree or 3 years of research experience in fields related to this call; ● MSc in Chemical Engineering is preferred, Energy Engineering, Chemistry, or other relevant degrees are also considered; ● Solid know-how on chemical processes ● Solid know-how on computational methods (e.g., FVM, FEM); ● Know-how on chemical process modeling; ● Skills in programming (C++, python or Julia) and some experience in the development of applications or libraries for modelling physical systems; ● Basic knowledge know-how on batteries; ● Experience with computational tools for multiphysics analyses (e.g., OpenFOAM, Ansys Fluent); ● Experience in Li-ion cells modelling (e.g., SPM, DFN) is not required but would be a plus ● Ability to work in a collaborative environment, with a strong commitment to achieve assigned objectives; ● Ability to organize and complete multiple tasks/projects at one time; ● Good knowledge of written and spoken English; ● Skills in problem solving; ● Good communication and relational skills; ● Self-motivation and result orientation; ● Ability to write technical reports and scientific papers. Furthermore the following elements will be positively evaluated: ● Experience with Modelica-based simulators (e.g., OpenModelica, Dymola, Modelon Impact) and/or chemical process simulators; ● Knowledge on data-driven modelling approaches. Employment Type of contract: Fixed Term Contract Gross annual salary: about € 41.400 Working hours: full time (38 hours per week) Start date: April 2024 Duration: 2 years (with the possibility to extend the contract) Workplace: Povo - Rovereto Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, social security (SANIFONDS), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees. More info at https://www.fbk.eu/en/work-with-us/ Application Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/). Please make sure that your application contains the following attachments (in pdf format): ● Detailed CV including a list of scientific publications; ● Cover Letter (explaining your motivation for this specific position) Application deadline: April 2, 2024 Email applications are not accepted. Please read our Regulations on the recruitment and selection of fixed-term personnel (effective from October 15, 2018) before completing your application. For further information, please contact the Human Resources Services at jobs@fbk.eu. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19070 when responding to this ad. | |
Name | Edoardo Macchi |
emacchi@fbk.eu | |
Email Application | No |
URL | https://jobs.fbk.eu/Annunci/Offerte_di_lavoro_A_researcher_for_modeling_Li_ion_cells_and_recycling_processes_230867711.htm |
Record Data: | |
Last Modified | 12:39:58, Tuesday, March 26, 2024 |
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