Master's Student: AI-Based Object Detection and Depth Estimation for Pre-Crash Assessments

Job role insights

  • Date posted

    September 25, 2024

  • Closing date

    November 24, 2024

  • Offered salary

    €70,000 - €120,000/year

  • Experience

    1 - 2 Years

Description

Master's Student: AI-Based Object Detection and Depth Estimation for Pre-Crash Assessments

Job Description:

    We are seeking a passionate and driven master's student to contribute to groundbreaking research in the field of AI-based object detection and depth estimation, particularly focusing on pre-crash scenarios. This role involves leveraging the latest advancements in synthetic data generation and sensor data fusion to enhance the capabilities of driver assistance systems and highly automated driving. As the automotive industry evolves, the demand for sophisticated detection of diverse objects in the driving environment is paramount. You will engage in literature research to explore existing datasets and models, develop a sensor data fusion framework for accurate object recognition, and estimate distances using computer vision techniques. The position requires you to train and optimize machine learning models for effective object detection, create test cases for robust validation of methodologies, and define the limitations of your approach. This is a unique opportunity to work at the forefront of automotive technology, contributing to the safety and innovation of future vehicles.

IT Languages:

  • Python
  • Pytorch
  • Tensorflow
  • Keras
  • Pandas
  • Numpy
  • CV2

In this role, you will be responsible for developing advanced algorithms for object detection using AI techniques.:

    Conduct literature research on existing object-specific datasets and models;; Build a sensor data fusion framework for object recognition and distance estimation;; Train and optimize machine learning models for accurate object detection;; Create and execute test cases for validating data and model methodologies;; Identify and define the limitations of the developed methods

Spoken Languages:

  • English;; German

Skillset:

  • Computer Vision
  • Machine Learning
  • Sensor Data Fusion
  • Data Validation

Soft Skills:

  • Strong communication skills
  • Teamwork
  • Structured approach
  • Ability to drive personal projects

Qualifications:

  • Bachelor's degree in Computer Science or related STEM fields
  • Focus on Machine Learning and Computer Vision

Years of Experience:

    2

Location:

    Europe

Job Benefits:

  • Flexible working hours
  • Opportunities for professional development
  • Work-life balance initiatives
  • Access to exclusive automotive events

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • Our culture is rooted in innovation and tradition, emphasizing creativity and unconventional thinking. We strive to push boundaries and set new standards in the automotive industry, fostering an environment where every team member can contribute to making automotive dreams a reality.

Opportunities For Advancement:

  • Career growth in the field of AI and automotive technology, Possibility of full-time employment after internship, Networking opportunities with industry professionals

Visa Sponsorship:

    Available

Interested in this job?

25 days left to apply

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