Die KI-Suchmaschine für Jobs
Scientist: Machine Learning for Sensor-Systems(m/w/x)
Beschreibung
You will drive innovation in sensor technology by developing advanced ML models and data pipelines, translating complex research into impactful publications and edge AI applications.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Familiarity with university research and development
- •Enjoyment of learning new topics
- •Scientific university degree in computer science, electrical engineering, or comparable field
- •Very good Python programming skills
- •In-depth machine learning and deep learning knowledge
- •Good knowledge of sensor technology and applications
- •Experience handling sensor data and networks
- •Ideally, initial experience with DevOps/MLOps
- •Knowledge of ML model size reduction techniques
- •Strong analytical and solution-oriented thinking
- •Independent, structured, and self-reliant working style
- •Very good communication skills
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Develop and implement machine learning and deep learning models
- •Process and analyze time- and frequency-based sensor data
- •Perform signal processing and feature engineering
- •Set up and maintain data pipelines for sensor acquisition
- •Manage data storage and database processing
- •Train and deploy models using Python, TensorFlow, and PyTorch
- •Utilize GPU-based servers and modern IT infrastructure
- •Apply classical ML methods and neural networks
- •Prepare ML models for inference on edge systems
- •Collaborate on MLOps and DevOps automation processes
- •Contribute to national and international research projects
- •Publish research results in journals and at conferences
- •Create structured technical documentation of development results
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Boni & Prämien
- •Performance-based variable remuneration
Karriere- und Weiterentwicklung
- •Opportunity to pursue doctorate
Startup-Atmosphäre
- •Interdisciplinary research team
Moderne Technikausstattung
- •Modern computing resources
- •Research infrastructure
Flexibles Arbeiten
- •Flexible working hours
Weiterbildungsangebote
- •Personal development opportunities
- Fraunhofer-GesellschaftVollzeit/TeilzeitBefristeter Vertragnur vor OrtBerufserfahrenMünchen
- Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany & Austria
Research Engineer on AI for 6G(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen - Huawei Research Center Germany & Austria
Spatial AI Research Engineer/Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen
Scientist: Machine Learning for Sensor-Systems(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
You will drive innovation in sensor technology by developing advanced ML models and data pipelines, translating complex research into impactful publications and edge AI applications.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Familiarity with university research and development
- •Enjoyment of learning new topics
- •Scientific university degree in computer science, electrical engineering, or comparable field
- •Very good Python programming skills
- •In-depth machine learning and deep learning knowledge
- •Good knowledge of sensor technology and applications
- •Experience handling sensor data and networks
- •Ideally, initial experience with DevOps/MLOps
- •Knowledge of ML model size reduction techniques
- •Strong analytical and solution-oriented thinking
- •Independent, structured, and self-reliant working style
- •Very good communication skills
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •Develop and implement machine learning and deep learning models
- •Process and analyze time- and frequency-based sensor data
- •Perform signal processing and feature engineering
- •Set up and maintain data pipelines for sensor acquisition
- •Manage data storage and database processing
- •Train and deploy models using Python, TensorFlow, and PyTorch
- •Utilize GPU-based servers and modern IT infrastructure
- •Apply classical ML methods and neural networks
- •Prepare ML models for inference on edge systems
- •Collaborate on MLOps and DevOps automation processes
- •Contribute to national and international research projects
- •Publish research results in journals and at conferences
- •Create structured technical documentation of development results
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Boni & Prämien
- •Performance-based variable remuneration
Karriere- und Weiterentwicklung
- •Opportunity to pursue doctorate
Startup-Atmosphäre
- •Interdisciplinary research team
Moderne Technikausstattung
- •Modern computing resources
- •Research infrastructure
Flexibles Arbeiten
- •Flexible working hours
Weiterbildungsangebote
- •Personal development opportunities
Über das Unternehmen
Fraunhofer-Gesellschaft
Branche
Research
Beschreibung
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
- Fraunhofer-Gesellschaft
Wissenschaftliche Mitarbeit im Bereich Machine Learning für Sensor-Systeme(m/w/x)
Vollzeit/TeilzeitBefristeter Vertragnur vor OrtBerufserfahrenMünchen - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany & Austria
Research Engineer on AI for 6G(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen - Huawei Research Center Germany & Austria
Spatial AI Research Engineer/Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenMünchen