PhD Position in the Cluster of Excellence Circular Bioengineering Supervisor

Cluster of Excellence Circular Bioengineering: fully funded PhD position in the group Biochemical Network Analysis

PhD Position in the Cluster of Excellence Circular Bioengineering Supervisor

Supervisor: Prof. Jürgen Zanghellini

Duration of Contract: 3 years with the possibility of extension to 3,5 years

Working hours: 30.00 hours/week

Starting Date: As soon as possible

 

Job Description

This position is embedded within the Cluster of Excellence Circular Bioengineering, which is revolutionizing how we think about sustainable production. By combining bioengineering, materials science, and chemistry, the cluster aims to develop innovative, closed-loop material cycles for zero-waste production and maximal resource efficiency. At the heart of the cluster, three interconnected research pillars drive innovation:

  • Sustainable Natural Resource Utilization
  • Microbial and Enzymatic Conversion
  • Process Circularity

 

We are seeking a PhD candidate to join the group Biochemical Network Analysis, led by Jürgen Zanghellini. The team focuses on mathematical modelling, artificial intelligence, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modelling, 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 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.

 

Your Profile

  • 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 modelling, 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 3776.1 (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.

How to apply

Please note: Make sure to start the application process early. The Call opened on March 2, 2026. Applications must be submitted online only; email submissions will not be considered.

  • Step 1: Before applying, ensure that you will have completed a subject-related diploma or master’s degree by the start of your employment.
  • Step 2: Identify the relevant Doctoral School from the list below.
  • Step 3: Select a position from the list of open positions. Make sure to indicate the correct doctoral school and supervisor in the application process.
  • Step 4: Create a u:account and then proceed via the "Apply" link below to submit your application. Please refer to the User Guide for detailed instructions on how to create and submit your application.

If you have any questions, please contact juergen.zanghellini@univie.ac.at.

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