Fraunhofer IBP · IBP - Bauphysik

Student / Thesis

Studentische Hilfskräfte für den Bereich Hygrothermik

Die Fraunhofer-Gesellschaft ( www.fraunhofer.de ) betreibt in Deutschland derzeit 74 Institute und Forschungseinrichtungen und ist die weltweit führende Organisation für anwendungsorientierte Forschung. Hier sorgst Du für Veränderung In dieser Position erstellst Du spezielle Probekörper und Prüfaufbauten für bauphysikalische Untersuchungen her. Zudem bereitest Du Prüfungen zur Ermittlung der Wärmeleitfähigkeit, der Druckspannung, der Schlagregendichtheit, der Luftdurchlässigkeit sowie des Widerstandes gegen statische Drucklasten vor und führst diese durch. Darüber hinaus unterstützt Du unser…

🇩🇪 Stuttgart

No deadlineSource: Fraunhofer IBP

Fraunhofer IBP · IBP - Bauphysik

Student / Thesis

Studentische Hilfskräfte im Bereich Visualisierung von Ökobilanz-Ergebnissen

Das Fraunhofer Institut für Bauphysik arbeitet anwendungsbezogen auf allen aktuellen Gebieten der Bauphysik und befasst sich mit Forschung, Entwicklung, Prüfung, Demonstration und Beratung auf den Gebieten Akustik, Energieeffizienz und Raumklima, Ganzheitliche Bilanzierung, Hygrothermik sowie Bauchemie, Baubiologie und Hygiene. Unsere Abteilung Ganzheitliche Bilanzierung analysiert Produkte, Prozesse und Dienstleistungen unter ökologischen, ökonomischen, sozialen und technischen Gesichtspunkten. Die Analyse erfolgt entlang des gesamten Lebenswegs – von der Rohstoffgewinnung über die…

🇩🇪 Stuttgart

No deadlineSource: Fraunhofer IBP

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Explainability of Transformer Models in Authorship Verification

Background/Motivation: Authorship verification (AV) is used in areas such as forensics, plagiarism detection, and fake news detection to identify the true author of a text. The goal of authorship verification (AV) is to classify whether two or more texts were written by the same author (Y) or not (N). As in most AI fields today, the most powerful models are usually based on transformer architectures. While these continuously achieve new state-of-the-art results, the application of explainability methods is mostly limited to somewhat older models or architectures. This limits the applicability…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Background/Motivation: For the detection of erotic and pornographic images, models that can recognise human skin, body parts, or scenes are often used. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to images in which erotic poses or partial sections of pornographic scenes can be recognised. Here, poses and facial expressions can be used for classification, among other things [2].…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Detection and Segmentation of Suggestive Clothing

Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to people in skin-tight latex or leather clothing. Existing approaches in the field of "Human Parsing" can already segment people and their clothing well. Additionally, datasets like Fashionpedia [2]…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Fraunhofer SIT · SIT - Secure Information Technology

Student / Thesis

Master's Thesis: Attacking Current Backdoor Detection Methods

Background/Motivation: Backdoor attacks are attacks on neural networks where a so-called trigger alters the decision-making behaviour of the networks, thereby creating vulnerabilities. These triggers can be injected into the training dataset or directly into the model weights. These are then called poisoned. Due to parameter-efficient fine-tuning methods, backdoor attacks on large language models (LLMs) have become significantly more difficult to detect, as a poisoned parameter update is harder to recognise than a poisoned dataset. Therefore, several methods have been developed recently to…

🇩🇪 Darmstadt

No deadlineSource: Fraunhofer SIT

Bachelor's/Master's Thesis in the Field of "Life Cycle Assessment of Ice Storage Cisterns for Building Energy"

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Studentische Hilfskräfte für den Bereich Hygrothermik

Studentische Hilfskräfte im Bereich Visualisierung von Ökobilanz-Ergebnissen

Master's Thesis: Explainability of Transformer Models in Authorship Verification

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Master's Thesis: Detection and Segmentation of Suggestive Clothing

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