University Assistant Predoctoral In Business Analytics And Operations Research

Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!

Setting:

The University of Vienna seeks to fill a position of University Assistant () at the Faculty of Computer Science. The selected will become part of the Research Group Workflow Systems and Technology (WST) and will work towards obtaining a doctorate degree (PhD) under the supervision of Prof. Bernhard Lutz. The position is to be filled as soon as possible.

The new work group by Prof. Bernhard Lutz within the research group Workflow Systems and Technology has a broad research focus on topics of business analytics and operations research. The interdisciplinary group aims to develop novel approaches for solving complex decision problems and explaining human behavior in the usage of information technology. For this purpose, the group applies methods from reinforcement learning, explainable AI, natural language processing, and lab experiments. Applications should hence be interested in one or more of the aforementioned topics and/or methods. The particular topics will be determined based on the candidate’s skills and preferences.

Given its interdisciplinary focus, the group collaborates with researchers from both, computer science and business administration. The successful candidate can hence build on a strong network of fellow researchers with a strong knowledge of business analytics and operations research topics.

The Faculty of Computer Science of the University of Vienna has world-leading researchers in Computer Science who pursue basic as well as applied research. The selected praedoc will also become part of the UniVie Doctoral School Computer Science (DoCS), which builds an essential framework to foster excellence in research and teaching.

The DoCS aims to provide young researchers with the broad knowledge and experience they need to conduct computer science research at the highest level. It trains doctoral students to solve fundamental as well as applied research questions of high relevance.

The appointment is for 4 years, whereby the employment contract is initially limited to 1.5 years and is automatically extended to a total of 4 years, unless the employer submits a declaration of non-renewal after a maximum of 12 months.

Your future tasks:

Participation in research, teaching and administration:

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Participation in publications/academic articles/presentation
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We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months
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Participation in teaching and independent teaching of courses as defined by the collective agreemen
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Supervision of student
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Involvement in the organisation of meetings, conferences, symposium
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Involvement in the department administration as well as in teaching and research administratio
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Your profile:

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An excellent command of English and German (spoken and written
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Good programming skills, preferably in Pytho
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Strong ability to work in team
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Perseverance and ability to get things don
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A high motivation and commitment to excel in your wor
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Willingness to travel, attendance of national and international conference
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What we offer:

Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Participation in conferences: Opportunities to present your research at international and national conferences.

Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) is paid 14 times per year and increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team!

It is that easy to apply:

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Curriculum vita
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Abstract of master thesi
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Degree certificates and transcript of record
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List of publications, evidence of teaching experience (if available
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