Python Job: Senior Scientist

The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position as soon as possible of a


Reference number : 13634

The Physics of Functional Materials Group under the direction of Univ.-Prof. Dr. Dieter Süss at the Faculty of Physics of the University of Vienna investigates magnetic, ferroelectric, piezoelectric materials by means of experiments, simulations and theoretical models and focuses on both fundamental research as well as applications. We aim to exploit the material properties for real life applications like magnetic sensors and storage applications. We are looking for a Senior Scientist with outstanding expertise in computational physics to support the group in their forefront research on micromagnetics and spintronics. The position is limited to one year with the possibility for extension

Duration of employment: 1 year/s

Extent of Employment: 20 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) with relevant work experience determining the assignment to a particular salary grade.

Job Description:
Participation in research in the field of magnetic structures with particular focus on numerical methods

• Development and modification of our finite element software (magnum.fe) for magnetic and spin-transport simulations
• Participation in research in the field of magnetic simulations with boundary element methods in the field of magnetic sensors
• Developing and strengthening the independent research profile
• Involvement in research projects / research studies
• International publications and presentations
• Responsibility for project applications and the acquisition of third-party funding
• Independent teaching of courses as defined by the collective agreement
• Supervision of students
• Participation in evaluation measures and quality assurance
• Involvement in the department administration as well as in teaching and research administration

Profile:
Professional expertise: Knowledge in computational physics in particular magnetic materials

• Successful track record of acquisition and management of third-party funded projects (e.g. FWF, WWTF, EU)

• Knowledge and experience in spintronics

• Knowledge and experience in implementation of boundary element methods

• Knowledge and experience in implementation of finite element methods

• Very good programming skills (including Python and C++)

• Doctoral degree/PhD degree

• High ability to express yourself both orally and in writing

• Excellent command of written and spoken English

• Ability to work in a team

• Experience with heading a computational software project

• Teaching experience / experience of working with e-learning (habilitation is desirable)

• Experience of working on research projects

• Publications in renowned, subject-relevant media (peer-reviewed, depending on the professional standards)

• International presentation experience.

Desirable qualifications are:

• Knowledge of university processes and structures
• Experience abroad
• Experience of supervising students.

Application documents:

• Letter of motivation
• Academic curriculum vitae (including a list of publications, a list of courses and a list of talks given)
• Description of research interests and research agenda
• Contact details of people who could provide a letter of reference.

Research fields:


Education:


Languages:



Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 24.10.2022, mentioning reference number 13634.

For further information please contact Süss, Dieter +43-1-4277-72730.

The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.

Reference number: 13634
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