Your future responsibilities
The successful candidate will work on an innovative project aimed at combining the power of modern data-driven Computer Vision algorithms with the expressive and explainable properties of symbolic AI.
Considering on a real-word smart home use case, we will focus in particular on strengthening the classification and tracking of objects in picture sequences showing the inside of refrigerators. Extending on our available Concept Bottleneck models that integrate deep learning algorithms (Mask R-CNN networks) with structural aspects from model-based reasoning, we will work with the resulting list of tags associated with objects. The algorithms explored and developed will work with these tags as input and will aim at classifying the objects more accurately via exploiting spatio-temporal information to be extracted from the picture sequence.
The tasks of the candidate will encompass (but are not limited to):
Considering on a real-word smart home use case, we will focus in particular on strengthening the classification and tracking of objects in picture sequences showing the inside of refrigerators. Extending on our available Concept Bottleneck models that integrate deep learning algorithms (Mask R-CNN networks) with structural aspects from model-based reasoning, we will work with the resulting list of tags associated with objects. The algorithms explored and developed will work with these tags as input and will aim at classifying the objects more accurately via exploiting spatio-temporal information to be extracted from the picture sequence.
The tasks of the candidate will encompass (but are not limited to):
- Explore state-of-the-art literature
- Explore available data and experimental setups for generating new relevant data (this includes data labeling)
- Prototype development for experimental evaluation
- Comparison of various approaches in terms of performance, resource demands and efficiency for the specific application
- Co-authoring of reports and potential publications
Your profile
The ideal candidate would tailor to one or more of the following aspects:
- Software development experience, preferably in Python
- Interest in AI and basic knowledge of Computer Vision with Deep Learning, temporal modelling, and logic reasoning
- Experience with/interest in deep learning frameworks like PyTorch
- Experience with/interest in solvers or reasoning approaches/engines
Important Facts about SAL
- Starting date: September or as soon as possible after that
- Limited Duration for 6 months.
- This position is endowed with a gross salary of € 1.713 / month, based on the collective agreement for research („Forschungs-Kollektivvertrag“).
- Diversified research activities with plenty of technical challenges.
- State-of-the-art lab facilities and instruments.
- Internal and external training opportunities for further development.
- Home Office possible.
- € 4 per day food allowance in restaurants or € 2 per day in supermarkets.
- Family & kids friendly.
- Free coffee/milk/tea & fresh fruits.
About us
Silicon Austria Labs (SAL) is a top research center for Electronic Based Systems (EBS). At three locations (Graz, Villach, Linz), SAL is conducting research along the entire EBS value chain in the areas of sensor systems, power electronics, RF (radiofrequency) systems, system integration and embedded systems to develop future-oriented solutions for industrial production, health, energy, mobility, safety and more. SAL brings together key players from industry, science and research and thus valuable expertise and know-how and conducts cooperative, application-oriented research along the value chain. Cooperative projects are co-financed by SAL and enable a fast and unbureaucratic project start. SAL is thus shaping the high-tech location Austria and Europe and developing the future
Innovation is our top priority and so are our employees. We are a family-friendly company and support the compatibility of work and family as much as possible. That is why we have been awarded the Work and Family Certificate until 2023. But we are constantly working on new measures to offer our employees an environment where they feel good, healthy and motivated.
