University Assistant Predoctoral

Universität Wien

Job description:

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a

University Assistant Predoctoral

52 Faculty of Chemistry
Startdate: 01.12.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: 30.11.2028
Reference no.: 4816

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!

Your personal sphere of influence:

We are seeking a PhD candidate to join the Biochemical Network Analysis group, led by Jürgen Zanghellini. The team focuses on mathematical modeling, artificial intelligence, and high-performance computing for biotechnological applications.

The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods to improve the efficiency and robustness of microbial and enzymatic production systems. You will design and implement computational frameworks to analyze process data, identify optimal operating conditions, and support sustainable bioproduction strategies.

Your future tasks:

• Develop computational models and optimization tools for bioprocess systems.
• Create software solutions and data pipelines for simulation, model calibration, and analysis.
• Sign a doctoral thesis agreement within 6-12 months and complete your PhD thesis within the project duration.
• Prepare and publish research results and present them at scientific conferences.
• Contribute to research activities, meetings, and administrative tasks within the group.

This is part of your personality:

• Master’s degree in Data Science, Computational Biology, Bioinformatics, Chemical Engineering, Systems Biology, or a related field.
• Good programming skills in Python, R, or similar languages.
• Experience with mathematical modeling, process optimization, or AI methods is highly desirable.
• Wet lab experience, for instance in bioprocess development, is a plus.
• Motivated, organized, and collaborative, with a strong interest in biotechnological applications.

What we offer:

• Work-life balance: Our employees enjoy flexible working hours.
• 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.
• Fair salary: The basic salary of EUR 3,714,80 (on a full-time basis) 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:

• Letter of Motivation: Explain your interest in the position and relevant experience.
• Academic CV: Include a list of publications, courses taught, and talks given.
• Research Interests: Describe your research interests and future research agenda.
• References: Provide contact details of individuals who can provide letters of reference.
• Via our job portal/"Apply Now" button.

If you have any questions, please contact:

Jürgen Zanghellini  

juergen.zanghellini@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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, 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.

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​Application deadline: 11/05/2025 

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