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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a temporary full-time employment for two years with
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position for one year, with an expected extension to four years. The position is primarily research‑oriented, but the faculty requires PhD students to complete 120 hours of teaching per year (along with some
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Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
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-of-principle FFS measurements on various test samples Support the supervision of a PhD student ESSENTIAL REQUIREMENTS A PhD in physics, biophysics, engineering or a related discipline Documented experience in
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methods and system programming, students develop a judicious understanding of how to apply these emerging processes to the broader field of game design. Applicants to this position will be able
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three courses in the fall term, two courses in the spring term, and one course in the summer term. A PhD in Computer Science, Software Engineering, Computer Engineering, or a related discipline is
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http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications received after the deadline will not be considered. All interested
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. KEY SELECTION CRITERIA 1/ PhD or equivalent relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines. 2/ Minimum 3 years of teaching
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Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT