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zy881210鐵蟲 (初入文壇)
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課題組招聘博后，待遇優(yōu)厚，各種福利非常的好 已有1人參與
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盧森堡大學(xué)招流體動(dòng)力學(xué)方向博后 詳情請(qǐng)見： https://recruitment.uni.lu/en/de ... eiten&lg=UK https://recruitment.uni.lu/en/de ... eiten&lg=UK |
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2樓2019-10-16 00:30:21
zy881210
鐵蟲 (初入文壇)
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不好意思，發(fā)帖的時(shí)候是全連接，發(fā)出去被砍掉了 你進(jìn)入https://recruitment.uni.lu/en/，選engineering，就可以看到 The University of Luxembourg (UL) invites applications for a: Postdoctoral Researcher in Energy Technology (M/F) The research team Applied Thermodynamics carries out applied research in energy technology and fluid dynamic code development. Research projects typically carried out with industrial, governmental and international cooperation partners. The research team is embedded of international Computational Fluid Dynamic networks developing application of Computational Fluid Dynamics (CFD) modelling and simulation technology Réf : F1-080009 12 months’ fixed-term contract (extension possible up to five years) Full-time (40 hours/week) Foreseen starting date on 1st January 2020 Your Role The successful candidate is expected to perform the following tasks: Investigating challenging issues related thermal energy conversion system, Energy Efficiency Analysis and Energy Storage Systems Developing novel techniques/algorithms to address some of the identified critical issues Disseminating results through scientific publications and conferences Coordinating research projects and preparing project deliverables Preparing new research proposals to attract industrial, national and European projects Providing assistance in the supervision of PhD students For further information, please contact: Prof. Dr. Stephan Leyer (stephan.leyer@uni.lu) Your Profile A PhD degree in Mechanical Engineering or related fields Sound publication track record in the areas related to Energy Technology Knowledge of one or multiple areas listed below is highly desirable: Thermal Power Plant Designs with various fuel types Energy storage Power to X Experience with optimization and/or machine learning tools Strong programming skills in MATLAB, Python or C++ is a plus Experience of working with industrial projects or public funded research projects related to resource management is highly desirable Highly committed, excellent team-worker, and strong critical thinking skills Excellent written and verbal communication skills in English Further Information Application submission: Before proceeding with the submission of your application, please prepare the following documents: Curriculum vitae Copy of certificates Track Record Letter of motivation Please upload all documents in PDF format by 1st November 2019. The University is an equal opportunity employer. 另外一個(gè)職位： The University of Luxembourg (UL) invites applications for a: Postdoctoral Researcher in Fluid Dynamics (M/F) The research team Applied Thermodynamics carries out applied research in energy technology and fluid dynamic code development. Research projects typically carried out with industrial, governmental and international cooperation partners. The research team is embedded in international Computational Fluid Dynamic networks developing application of Computational Fluid Dynamics (CFD) modelling and simulation technology Réf : 50015229 12 months’ fixed-term contract (extension possible up to five years) Full-time (40 hours/week) Foreseen starting date on 1st January 2020 Your Role The successful candidate is expected to perform the following tasks: Investigating challenging issues related multi-phase flow, heat and mass transfer Model development, validation and implementation in Lumped parameter codes, CFD Codes and Lattice Boltzmann Method Codes Developing novel techniques/algorithms to address some of the identified critical issues Disseminating results through scientific publications and conferences Coordinating research projects and preparing project deliverables Preparing new research proposals to attract industrial, national and European projects Providing assistance in the supervision of PhD students For further information, please contact: Prof. Dr. Stephan Leyer (stephan.leyer@uni.lu) Your Profile A PhD degree in Mechanical Engineering or related fields Sound publication track record in the areas related to experimental or computational fluid dynamics Knowledge of one or multiple areas listed below is highly desirable: Multi Phase / Multi Component Flow Modelling Multi Phase Heat Transfer Modelling Multi Phase Instrumentation Technology Experience with optimization and/or machine learning tools Strong programming skills in MATLAB, Python or C++ is a plus Experience of working with industrial projects or public funded research projects related to resource management is highly desirable Highly committed, excellent team-worker, and strong critical thinking skills Excellent written and verbal communication skills in English Further Information Application submission: Before proceeding with the submission of your application, please prepare the following documents: Curriculum vitae Copy of certificates Track Record Letter of motivation Please upload all documents in PDF format by 1st November 2019. The University is an equal opportunity employer. |
3樓2019-10-16 16:45:45
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