Job
In this position, you develop methods for perceiving cyclists' behavior using deep learning, support measurement campaigns, and lead a motivated team in innovative research projects.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- Methods for perceiving cyclists' behaviour using machine learning techniques (in particular, deep learning approaches) based on data from vehicle sensors (e.g. camera and LiDAR data).
- Cross-labelling approaches for the highly automated annotation of cyclists' behaviour data, i.e. transferring “labels” from, for example, camera data to LiDAR data.
- Methods for integrating information from models trained on different data modalities and evaluating the resulting information gain.
- Planning and conducting measurement campaigns in the form of laboratory experiments as well as field experiments.
- Research within the DyNaMo project.
- Contributing to the group's general tasks.
Our expectations of you
Education
- A PhD and a completed university degree in Computer Science or a closely related field.
Qualifications
- Excellent knowledge of perception and computer vision.
- Very good fundamental knowledge in machine learning and data analysis.
- A successful academic career with high-impact publications in the relevant fields.
- Good knowledge of AI tools, e.g. PyTorch, TensorFlow, scikit-learn, Pandas, OpenCV and NumPy.
- A structured approach to work that enables you to lead a team.
- A keen interest in the challenges posed by machine learning applications in the field of automated driving.
- An independent and goal-oriented approach to work, and a passion for scientific research.
- Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift (mindestens B2-Niveau in beiden Sprachen).
- A driving licence valid in Germany for passenger cars.
Experience
- Experience in external fundraising (e.g., LOEWE, BMFTR, DFG).
- Experience in programming, particularly in Python, but also in other programming languages.
What we offer
- The position is initially limited until 31 December 2028 as part of the “DyNaMo” project, in line with the project’s duration (academic qualification position pursuant to Section 2 of the German Academic Fixed-Term Contract Act [WissZeitVG]).
- An extension of the employment is planned.
- The opportunity to obtain a habilitation degree is available.
- You will lead a small but highly motivated team.
- You will have the opportunity to attend conferences, summer schools, and various professional development programmes (e.g. the opportunity to obtain a habilitation degree).
- You will have access to your own, very large Slurm-based compute cluster (CPU and GPU).
- You will have access to your own, state-of-the-art test vehicle (a car equipped with a camera, LiDAR and radar).
- You will be able to develop new methods for use in practical applications.
- As an employee of the University of Kassel, you will be offered an interesting and diverse range of tasks within the framework of a modern and ambitious university.
- You will be part of an interdisciplinary team with a good and collegial working atmosphere.
- You will have the opportunity to participate in professional and interdisciplinary further education measures.
- Your workplace has good connections to public transport, which you can currently use free of charge.
- You will benefit from the advantages of employment in the public service, such as an additional occupational pension (VBL), an optional child allowance in accordance with TV-Hessen, a family-friendly university (including emergency childcare), an annual bonus, entitlement to capital-forming benefits, support for voluntary engagement, low-cost access to university sports and a comprehensive range of fitness activities through Unifit, as well as workplace health management.
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Kassel University is a dynamic university with around 23,000 students. It has an exceptionally broad profile with the competence fields of nature, technology, culture and society
- Established Company
- Hybrid, Onsite
- Education System
More jobs
These jobs might also interest you
As a Senior Software Engineer (m/f/d), you will take on a central technical role in challenging client projects and develop sustainable, scalable software solutions in complex enterprise environments. In your role, you will primarily be responsible for:...
The role As a Forward Deployed AI Engineer, you go directly into our specialist departments, understand the processes, and develop production-ready AI and automation solutions that will fundamentally change the way the entire GGW Group operates. You do...
Hello, let's say WE! We - the HUK-COBURG Insurance Group - are among the top 10 in Germany. Founded over 90 years ago, we are now the leading insurer for private households with over 13 million customers and the largest German auto insurer. Our...
