Scientific Project Assistant Pre-Doc 2026/0120

Euraxess; Wien; Vor Ort; EUR 24.000 - 36.000; Teilzeit

Zusammenfassung

The Veterinärmedizinische Universität Wien invites applications for a PhD candidate position within the Precision Livestock Farming research project. The role focuses on digitalisation of livestock farming through sensor tech, with duties spanning the development of computer vision methods for piglet behaviour, data analysis, and dissemination of results.

Candidates should hold a Master degree in relevant fields, demonstrate strong English skills (B2), and be able to work with state-of-the-art

Qualifikationen

• Master or equivalent degree in veterinary medicine, agricultural sciences, computer science, data science, bioengineering or engineering from international renowned institutions with 300 ECTS
• Good English in writing, reading and speaking (B2)

Aufgaben

• Development of computer vision methods for phenotyping with focus on early detection of abnormal behaviour in weaned piglets
• Implement and improve state-of-the-art computer vision methods for individual identification, tracking and behaviour recognition
• Develop techniques for increased robustness of computer vision models (e.g., synthetic datasets)
• Write scientific publications
• Present research results at national and international conferences

Ausbildung

Master degree or equivalent

Tools

C

C++

Python

Java

Matlab

R

Jobbeschreibung

Organisation/Company Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) Department Human Resources Research Field Medical sciences » Veterinary medicine Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 30 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026/0120 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Job Summary/offer: Digitalisation in livestock farming is advancing rapidly. One of the factors contributing to this development is the increasing use of sensor technologies, e.g. for animal monitoring. In this context, Precision Livestock Farming technologies support the management of animals by continuous, automated, real-time monitoring of production/reproduction, health and welfare, integrating a bioengineering approach to human-animal interaction that offers wide-ranging applications and benefits. For the research project PIG.AI, organized in collaboration with Austrian pig breeding association https://www.pig.at/ and the University of Natural Resources and Life Sciences https://boku.ac.at/en/about-boku , we are searching for a PhD candidate with the following tasks.

Tasks

• Development of computer vision methods for phenotyping with focus on the early detection of abnormal behaviour in weaned piglets
• Implement and improve state-of-the-art computer vision methods for individual identification, tracking and behaviour recognition
• Development of techniques for increased robustness of computer vision models e.g. generation of synthetic datasets
• Writing scientific publications
• Presenting research results on national and international conferences

Main Research Field: Precision Livestock Farming

Requirements

Research Field Medical sciences » Veterinary medicine Education Level Master Degree or equivalent

Specific Requirements

Necessary education, knowledge and qualifications

• Master or equivalent degree in veterinary medicine, agricultural sciences, computer science, data science, bioengineering or engineering from international renowned institutions of higher education (Diplom- or Bachelor+Master with a total of 300 ECTS)
• Good English in writing, reading and speaking (B2)

Desirable qualifications, abilities and skills

• Knowledge in data analysis and programming (e.g. C, C++, Python, Java, Matlab, R)
• Experience with deep learning frameworks
• Experience with computer vision
• Experience with video game engines and synthetic data e.g. Unreal Engine 5
• Affinity with livestock, preferably in animal handling
• Interest in animal health, welfare, production and breeding
• Knowledge in behavioural data analysis
• Experience with sensor use in biology
• Ability to conduct research relatively independently
• Scientific publications

Languages ENGLISH Level Good

Research Field Medical sciences » Veterinary medicine

Additional Information

Additional comments

Career Stage: Early Researcher (Post Graduate)

Research Profile: First Stage Researcher (R1)

Only the German version of the job advertisement is binding.

The English version is for information purpose only.

Number of offers available 1

Company/Institute Shared Facility Precision Livestock Farming (PLF Hub) Country Austria Geofield