54 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Tampere University" PhD positions at Forschungszentrum Jülich
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Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power
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(„Christmas bonus“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees at Forschungszentrum Jülich (including its
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bonus”) amounting to 60% of one month’s salary. All information about the TVöD-Bund collective agreement can be found on the BMI website (pay scale table on page 66 of the PDF download): https://go.fzj.de
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): https://go.fzj.de/bmi.tvoed PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International
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KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral
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hydrogen release by means of pressure control Carrying out parameter studies Comparison of different catalyst materials Determination of the pressure dependence of the dynamic hydrogen release Development
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opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs 30 days of annual leave Further development of your personal strengths, e.g. through an extensive range of training courses; a
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative
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dynamic and highly active research field KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly