Job
- Level
- Junior
- Job Field
- Data, Embedded
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 1.027 € Gross/Month
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this project, you will develop methods for inline 3D imaging focusing on material properties while exploring algorithms like Gaussian Splatting and multispectral imaging for quality control.
Job Technologies
Your role in the team
- You will acquire basic skills in inline optical 3D imaging for process control and automation.
- You will carry out a literature search and review on state-of-the-art optical detection and reconstruction of material properties.
- You will explore the potential of material-aware Gaussian Splatting and related approaches or sensing methods like multispectral imaging for fast inline quality control.
- Under the guidance of our experienced researchers, you will have access to our machine vision lab as well as a digital-twin blender model of the lab setup, to carry out experiments and collect datasets.
- Depending on the direction of the thesis, there is the possibility to expand the existing lab setup with multispectral sensing capabilities.
- A selected Gaussian Splatting algorithm (e.g., RefGS, 3DGSDR, or GShader) can serve as a starting point for further adaptation towards modelling and reconstructing material properties and can be extended or complemented depending on your individual research direction.
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Our expectations of you
Qualifications
- Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar.
- Good knowledge in computer vision and/or image processing are required.
- Interest in machine vision, computer graphics, and machine learning.
- High level of commitment and team spirit.
- Very good English skills (spoken and written).
Experience
- Experience in at least one of the programming languages Python, C++.
- Experience with CUDA, OpenCV, or Blender is advantageous.
- Hands-on lab work experience with image acquisition using industrial/digital imaging is advantageous.
- Experience in material-aware object representation such as Ref-Gaussian or Material-Informed GS is advantageous.
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What we offer
- Duration of the master’s thesis project: 6 months.
- Start date: ideally June 2026 - with some flexibility depending on your availability.
- EUR 1,027.40 gross per month for 20 hours/week based on the collective agreement.
- There will be additional company benefits.
- Opportunity to work on a real-world research challenge that arose in ongoing collaborations with industrial partners and gain hands-on experience with cutting-edge imaging technologies at the forefront of application-driven research.
- Mentoring and a well-established research setting with joint supervision from AIT and TU Vienna.
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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
Topics that you deal with on the job
Job Locations
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
Career Growth
3.6Engineering
4.0Culture
4.2Workingconditions
3.7
Master Thesis Material Aware Inline 3D Imaging
- Salary
- from 1.027 € Gross/Month
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required