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Internship on Deep Learning Methods for Real-time Object Tracking

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ZEISS Group

11d ago

  • Internship
    Full-time
    Summer Internship
  • Research & Development
    IT & Cybersecurity
  • Oberkochen

AI generated summary

  • You should have a STEM background, be a master's student, be proficient in C++ or Python, have knowledge in linear algebra and computer vision, and be self-motivated with relevant experience.
  • You will research 3D computer vision, develop hardware setups, implement deep learning prototypes, validate results, assess feasibility, and document outcomes in a collaborative environment.

Requirements

  • A background in the STEM area (computer science, robotics engineering, electrical engineering)
  • Currently enrolled in a master's degree program at a top university
  • Prior experience with at least one programming language such as C++ or Python
  • Good theoretical background in linear algebra, optimization, and computer vision methodologies
  • Demonstrable applied experience with the computer vision (such as OpenCV, PCL, Open3D) and deep learning libraries (Tensorflow/ Pytorch) will be beneficial
  • Self-motivated and independent working style along with a curiosity for diving into challenging topics that push the state-of-the-art

Responsibilities

  • We are seeking passionate and talented students who are eager to shape next-generation products at ZEISS. Integrated within a team of scientists and engineers, you will work on research topics in 3D computer vision and robotics. The project is based on high-precision object tracking involving subtasks such as pose estimation, semantic segmentation and so on leveraging deep-learning methods from computer vision.
  • Familiarize with the state-of-the-art in pose estimation and tracking applications
  • Development of the hardware experimental setup based on the use-case
  • Implementation of prototype solutions relying on methods from both geometric and/ or deep learning methods in computer vision
  • Validation of the results with test measurements
  • Evaluation of the technical feasibility
  • Documentation of the experimental outcomes & test results

FAQs

What is the focus of the internship position?

The focus of the internship position is on deep learning methods for real-time object tracking, specifically in the area of 3D computer vision and robotics.

What qualifications are required for the internship?

Applicants should have a background in STEM (computer science, robotics engineering, electrical engineering) and be currently enrolled in a master's degree program at a top university.

What programming languages should applicants be familiar with?

Applicants should have prior experience with at least one programming language, such as C++ or Python.

Is prior experience with specific libraries beneficial for this position?

Yes, demonstrable applied experience with computer vision libraries (like OpenCV, PCL, Open3D) and deep learning libraries (such as TensorFlow or PyTorch) will be beneficial.

Will interns get to work independently?

Yes, the internship encourages a self-motivated and independent working style while also allowing interns to collaborate with their colleagues.

What type of work environment can applicants expect?

Applicants can expect a spacious, modern setting that is full of opportunities for further development, fostering expert knowledge and team spirit.

Is there a requirement for a work permit for applicants?

Yes, a valid work permit for Germany is required for non-EU citizens; applications without a valid work permit and sufficient German language skills may not be considered.

What tasks will interns be involved in during the program?

Interns will engage in state-of-the-art research on pose estimation and tracking applications, develop hardware experimental setups, implement prototype solutions, validate results, evaluate technical feasibility, and document outcomes and test results.

Are there opportunities for further career development after the internship?

Yes, the internship provides deep insights into the company and creates ideal conditions for future career opportunities.

Does ZEISS value diversity in its workplace?

Yes, ZEISS values diversity and welcomes applications regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation, or identity.

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ZEISS Group

Manufacturing & Electronics
Industry
10,001+
Employees
1846
Founded Year

Mission & Purpose

ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023). With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.

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