Research in the field of continuous, infinite-dimensional optimization (analysis and numerics); Collaboration in major projects of the institute; if appropriate, own acquisition of third-party funding; Conducting courses and examinations, including in the area of optimisation/numerics; Collaboration in the supervision of students; Possibility to work on a relevant habilitation or qualification for a professorship
Completed doctorate in mathematics; Sound knowledge of infinite-dimensional, nonsmooth, and/or stochastic/statistical optimisation; Sound knowledge of the algorithmic implementation of optimisation methods; Interest in interdisciplinary cooperations; High potential for scientific excellence (demonstrated by e.g. relevant publication activity in international peerreviewed journals commensurate with career status); Excellent proficiency in English; Didactic aptitude for independent teaching; Ability to communicate and work in a team
ID: MB/4/99_NAWI ex 2021/2022 At the University of Graz, researchers and students work across a broad disciplinary spectrum to enlarge our knowledge, and find strategies to deal with challenges our society is confronted with and to shape tomorrow’s world. The University of Graz is a place which combines high quality academic research and teaching, where achievement is rewarded, careers are promoted, and social diversity is encouraged - all within a modern, award-winning working environment. Our motto: We work for tomorrow. Join us! The Institute of Mathematics and Scientific Computing is looking for a University Assistant with doctorate (m/f/d) 40 hours a week fixed-term employment for 6 years* position to be filled as of now Your duties Research in the field of continuous, infinite-dimensional optimization (analysis and numerics) Collaboration in major projects of the institute; if appropriate, own acquisition of third-party funding Conducting courses and examinations, including in the area of optimisation/numerics Collaboration in the supervision of students Possibility to work on a relevant habilitation or qualification for a professorship Your Profile Completed doctorate in mathematics Sound knowledge of infinite-dimensional, nonsmooth, and/ or stochastic/ statistical optimisation Sound knowledge of the algorithmic implementation of optimisation methods Interest in interdisciplinary cooperations High potential for scientific excellence (demonstrated by e.g. relevant publication activity in international peerreviewed journals commensurate with career status) Excellent proficiency in English Didactic aptitude for independent teaching Ability to communicate and work in a team Our Offer Classification Salary scheme of the Universitäten-KV (University Collective Agreement): B1 Minimum Salary The minimum salary as stated in the collective agreement and according to the classification scheme is EUR 4.061,50 gross/month (for full-time employment). This minimum salary may be higher due to previous employment periods eligible for inclusion and other earnings and remunerations. We offer you a job with a lot of responsibility and variety. You can expect an enjoyable work climate, flexible work hours and numerous possibilities for further education and personal development. Take advantage of the chance to enter into a challenging work environment full of team spirit and enthusiasm for your job. Application deadline: 06.07.2022 The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply. Especially with regard to academic staff, we welcome applications from persons with disabilities who meet the requirements of the advertised position. Applicants with proof of COVID-19 vaccination will be given preference if equally qualified. For further information, please refer to our general application regulations . * Please note the limitations of § 109 UG (university act), especially in the case of short contract terms. For further information, please refer to our general application regulations . For further information or questions, please contact: Anika Maier email@example.com 03163801117
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