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Position: Trainee
Institution: Paul Scherrer Institut
Location: Villigen, Aargau, Switzerland
Duties: Conducting various kinds of after-test characterizations, including optical and scanning electron microscopy. Calculating the crack propagation velocity, crack initiation life, propagation life and stress/strain intensity factor with the digital image analyzed results. Mining and filtering data from literatures and open source database for training & testing the statistic model. The outcome of the internship shall be summarized in a presentation
Requirements: You are a student in material science, metallurgy, mathematics or similar and are at least in your penultimate year of graduate study and have not yet completed your Master’s thesis. You have hands-on experience of material characterization methods like SEM Knowledge on fatigue and fractography is favored. You have knowledge in machine learning or ANN is favored. You are responsible, open-minded, communicative and enjoy working in an international team
   
Text: The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of matter and materials, energy and environment and human health. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether PSI employs 2100 people. High temperature water and mean stress can influence fatigue behavior of 316L austenitic steel and consequently increase or decrease the fatigue life. In order to understand the influence of HTW, mean stress, internal pressure and geometry on cyclic stress-strain response and fatigue life, fatigue crack initiation and growth would be investigated via metallographic methods, SEM imaging and digital image analysis; materials deformation would be characterized via TEM, EBSD and ECCI. With the gained results, physically- and statistically-based life prediction model would be developed. In the context of post-test characterizations and prediction model development within the nuclear energy and safety division we are looking for a Trainee After-test Material Characterization and Data Mining & Analysis: Study HTW and Mean Stress Effects on Fatigue Behavior of Austenitic Stainless Steels Working in LWR Environment Your tasks Conducting various kinds of after-test characterizations, including optical and scanning electron microscopy Calculating the crack propagation velocity, crack initiation life, propagation life and stress/strain intensity factor with the digital image analyzed results Mining and filtering data from literatures and open source database for training & testing the statistic model The outcome of the internship shall be summarized in a presentation Your profile You are a student in material science, metallurgy, mathematics or similar and are at least in your penultimate year of graduate study and have not yet completed your Master’s thesis You have hands-on experience of material characterization methods like SEM Knowledge on fatigue and fractography is favored You have knowledge in machine learning or ANN is favored You are responsible, open-minded, communicative and enjoy working in an international team We offer Our institution is based on an interdisciplinary, innovative and dynamic collaboration. The Internship duration will be limited to three months. Preferably starting in May/June 2019. For further information please contact Wen Chen, phone 41 56 310 25 66, email: wen.chen@psi.ch or Hans-Peter Seifert, phone 41 56 310 44 02, email: hans-peter.seifert@psi.ch . Please submit your application online for the position as a Trainee (index no. 4000-T1). Paul Scherrer Institut Human Resources Management, Sabrina Orteca, 5232 Villigen PSI, Switzerland Apply online now
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