Job
- Level
- Junior
- Job Field
- Data, Embedded
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 1.005 € Gross/Month
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop AI-based anomaly detection for mobile work machines, implement models, and evaluate sensors for monitoring vibrations and sounds in real-world applications.
Job Technologies
Your role in the team
- Tauchen Sie ein in den neuesten Stand der Technik bei vibrations- und akustikbasierter Zustandsüberwachung, Anomalie- und Ereigniserkennung, und identifizieren Sie vielversprechende Methoden.
- Prototype on established open datasets, implementing and benchmarking AI-based anomaly and event detection methods (e.g., feature-based models, one-class approaches, autoencoders, lightweight CNNs) using vibration and/or machine-sound data.
- Design a compact sensor concept for a real work machine, selecting suitable vibration and/or audio sensors and defining mounting positions on or near the critical mechanical structures.
- Support data acquisition on a test platform or test rig, recording and labelling normal operation under different loads and operating modes, as well as selected anomaly scenarios (e.g., imbalance, loosened non-critical components, controlled impact / foreign-object events).
- Develop end-to-end detection pipelines, from signal preprocessing (filtering, feature extraction, time-frequency representations) to model training and thresholding for online anomaly and event detection.
- Systematically evaluate and compare your models, analysing detection rates, false alarms, and robustness to operating conditions and noise, and assessing the impact of different sensor configurations (vibration vs. audio vs. sensor fusion) and model choices.
- Work as part of an experienced research team, receive close mentorship from scientists in robotics, machine learning and control, and learn how to plan, document and present an applied research project in a professional R&D environment – giving your scientific career a strong, application-driven kick-start.
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Our expectations of you
Qualifications
- Ongoing master’s studies in Robotics, Automation, Mechatronics, Electrical Engineering, Computer Science, Data Science or a related technical field.
- Basic knowledge of signal processing and machine learning, or strong motivation to build up these skills quickly.
- Strong interest in autonomous systems, mobile work machines, sensing, and embedded AI.
- Hands-on mindset and willingness to work with real hardware, experimental setups and sensor data.
- Ability to work both independently and as part of a team, as well as good command of English (spoken and written).
Experience
- Solid programming skills in Python; experience with scientific libraries (e.g., NumPy, SciPy, Pandas) is expected, first experience with machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn) is an advantage.
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Benefits
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏝Extra Holidays
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
Food & Drink
More net
Job Locations
Topics that you deal with on the job
This is your employer
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
Description
- Company Size
- 250+ Employees
- Founding year
- 2007
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.8
Culture
4.2Engineering
4.0Career Growth
3.6Workingconditions
3.7
Master Thesis AI-Based Condition Monitoring for Autonomous Mobile Work Machines
- Salary
- from 1.005 € Gross/Month
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders