Die KI-Suchmaschine für Jobs
Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Beschreibung
In this Master's thesis, you will explore the exciting field of 3D Semantic Occupancy Prediction for Embedded Devices, focusing on optimizing models and algorithms while documenting findings for potential publication or patenting.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Study in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or comparable fields
- •Strong programming skills in Python
- •Strong interest in runtime optimization
- •Experience in 3D perception, multihead attention, deep learning, training and optimizing large architectures, Docker, PyTorch, OOP, and Git
- •Demonstrated research/software engineering experience
- •Fluent English language skills in word and writing
- •Independence, goal-orientation, and structured work style
- •Analytical thinking and problem-solving skills
- •Creativity and flexibility
- •Very good communication and teamwork skills
Ausbildung
Aufgaben
- •Sparsify, prune, and quantize CNN and transformer-based architectures for autonomous driving
- •Design and implement models for runtime optimized 3D semantic occupancy predictions
- •Evaluate training algorithms for 3D semantic occupancy predictions
- •Summarize research findings in a paper or master thesis
- •Prepare for patent submission
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- •Flexible working hours
Sonstige Vorteile
- •Qualified support from specialists
Moderne Technikausstattung
- •Powerful GPU infrastructure
Mentoring & Coaching
- •Participation in journal clubs
Team Events & Ausflüge
- •Networking events
- AumovioVollzeitPraktikummit HomeofficeBerlin
- AeroVect
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Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this Master's thesis, you will explore the exciting field of 3D Semantic Occupancy Prediction for Embedded Devices, focusing on optimizing models and algorithms while documenting findings for potential publication or patenting.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Study in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or comparable fields
- •Strong programming skills in Python
- •Strong interest in runtime optimization
- •Experience in 3D perception, multihead attention, deep learning, training and optimizing large architectures, Docker, PyTorch, OOP, and Git
- •Demonstrated research/software engineering experience
- •Fluent English language skills in word and writing
- •Independence, goal-orientation, and structured work style
- •Analytical thinking and problem-solving skills
- •Creativity and flexibility
- •Very good communication and teamwork skills
Ausbildung
Aufgaben
- •Sparsify, prune, and quantize CNN and transformer-based architectures for autonomous driving
- •Design and implement models for runtime optimized 3D semantic occupancy predictions
- •Evaluate training algorithms for 3D semantic occupancy predictions
- •Summarize research findings in a paper or master thesis
- •Prepare for patent submission
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- •Flexible working hours
Sonstige Vorteile
- •Qualified support from specialists
Moderne Technikausstattung
- •Powerful GPU infrastructure
Mentoring & Coaching
- •Participation in journal clubs
Team Events & Ausflüge
- •Networking events
Über das Unternehmen
Aumovio
Branche
Automotive
Beschreibung
Das Unternehmen AUMOVIO bietet ein breites Portfolio für sichere, vernetzte und autonome Mobilität, einschließlich Sensorlösungen und Softwareexpertise.
- Aumovio
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Vollzeitmit HomeofficeBerufserfahrenMünchen, Berlin