Du nimmst an Forschungsprojekten teil, präsentierst deine Ergebnisse und arbeitest an deiner Dissertation, während du auch in der Lehre aktiv bist.
Anforderungen
- •Completed Master's studies in Pharmaceutical Sciences
- •Experience in chemoinformatics and molecular design methods
- •Strong knowledge of chemistry and pharmaceutical chemistry
- •Strong background in Python programming
- •Experience with machine learning frameworks (Scikit Learn, Pytorch, Keras)
- •Understanding of optimization processes
- •Excellent written and spoken English skills
- •Capacity to supervise bachelor's and master's students
- •Strong social and communicative skills
Deine Aufgaben
- •An Forschungsprojekten teilnehmen
- •Forschungsergebnisse präsentieren
- •An der Dissertation arbeiten
- •Lehre und selbstständige Lehre durchführen
- •Bachelor- und Masterstudenten mitbetreuen
- •Zur Fachbereichs- und Lehradministration beitragen
Deine Vorteile
Flexible Arbeitszeiten
Remote-Arbeitsmöglichkeiten
Gute Anbindung an öffentliche Verkehrsmittel
Interne Weiterbildung und Coaching
Fairer Grundlohn von EUR 3,714.80
Chancengleichheit für alle
Original Beschreibung
## University assistant predoctoral
50 Faculty of Life Sciences
Job vacancy starting: (MM-DD-YYYY) | Working hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc)
Limited contract until:
Job ID: **3884**
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The Computational Drug Discovery and Design Group (COMP3D) at the Faculty of Life Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties of bioactive substances. These innovative technologies enable the development of effective and safe drugs more quickly, efficiently, and sustainably.
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## Your personal sphere of influence:
As a university assistant prae doc, you will work on the development of a novel method for the identification of active small organic molecules. The project investigates the use of machine learning and/or optimization methods to incorporate ligand and binding site information to enable efficient and robust virtual screening. A solid understanding of deep learning methods and optimization techniques - including gradient-based algorithms and Monte Carlo sampling - is required. **The position is available for immediate filling and is advertised for 4 years, the employment contract is initially limited to 1.5 years.**
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## Your future tasks:
**We expect the successful candidate to complete the public presentation (FÖP) and the doctoral agreement within 12 months**at the latest, and to actively participate in research, teaching, and administration, which means:
* You participate in research projects/studies.
* You present your research findings in peer-reviewed publications and at conferences.
* You work on your dissertation and its completion.
* You participate in teaching and independent teaching of courses within the scope of the collective agreement.
* You participate in the co-supervision of bachelor's and master's students.
* You contribute to the department administration as well as to teaching and research administration.
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## This is part of your personality:
* Completed Master studies in Pharmaceutical Sciences, Chemistry, Chemoinformatics, Computer Science, Computational Science, or a related field, or you expect to complete them in the near future.
* Experience in the development and application of methods in chemoinformatics and computer-aided molecular design.
* Strong knowledge of chemistry, ideally pharmaceutical chemistry, proteins, structural biology, and protein-ligand interaction.
* Strong background in Python programming language.
* Demonstrated experience in the development and implementation of machine learning frameworks (Scikit Learn, Pytorch, or Keras).
* Solid understanding of optimization processes such as gradient-based optimization and Monte Carlo sampling techniques.
* Excellent written and spoken English skills, demonstrated by high-quality academic writing and communication.
* Capacity and motivation to supervise bachelor's and master's students. Tutoring experience is a plus.
* Strong social and communicative skills.
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## What we offer:
**Work-life balance:** You have flexible working hours and can also work remotely at times.
**Inspiring working environment:** You are part of a dedicated team with diverse academic backgrounds, giving you plenty of room to develop your personal interests and take on responsible tasks.
**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. You can choose from a wide range of free courses.
**Fair salary:** The basic salary of EUR 3,714,80 (gross; based on a 40 hour contract) comes 14x/year and increases if we can credit professional experience.
**Equal opportunities for all:** We welcome every additional/new personality to the team!
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## If you have any questions, please contact:
Johannes Kirchmair
johannes.kirchmair@univie.ac.at
We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.
## University of Vienna. Space for personalities. Since 1365.
**Application deadline:** 05/09/2025 (MM-DD-YYYY)
Prae Doc