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Master Thesis - 3D Gaussian-Based SLAM for Autonomous Driving - REF72525L

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of 41.4 billion and currently employs around 200,000 people in 56 countries and markets.

Job Description

Hey, you are looking for an exciting thesis and would like to gain valuable insights into the field of 3D Gaussian-Based SLAM for Autonomous Driving? Then we have just the thing for you!

We are looking for you starting in February for a period of 6 months to support us in our AI laboratory in Berlin. We will need you mostly on site in Berlin. But we also understand that there are days when you'd rather work from home. Therefore, together we find a solution that suits us all - remote working hours are therefore possible in consultation with your supervisor.

The following tasks are to be processed in this Master's thesis:

  • You will actively work on improving the visual quality and localization quality of 3D Gaussian SLAM methods for the autonomous driving use case

While not mandatory, this position is particularly well-suited for students who are considering a future in research or pursuing a PhD. 

Qualifications

Are you wondering whether you are suitable for the thesis in the field of 3D Gaussian-Based SLAM for Autonomous Driving? Here are key qualifications we are looking for:

  • You study in the field of Artifical Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics or comparable courses of study, so that you have basic aspects of our area of responsibility
  • Strong programming skills in Python are absolutely necessary in the context of this position
  • You should have a strong interest in working on 3D computer vision
  • It would be great if you have experience in 3D perception (familiar with Gaussian Splatting), previous exposure to SLAM, erperience with deep learning, training and optimizing large architectures as well as already worked with Docker, PyTorch, OOP and Git
  • Demonstrated research/software engineering experience through previous internships, work experience, coding competitions and/or research projects and papers are a plus
  • Fluent English language skills in word and writing are absolutely necessary for us

In addition to these technical requirements, we are also looking for certain properties and skills:

  • You are independent, goal-oriented and structured and know how to work effectively without losing track - always pay attention to high-quality results
  • Analytical thinking and problem-solving kills are also beneficial and can help you solve the tasks effectively
  • Creativity and flexibility are a matter of course for you and help you to find unconventional solutions
  • A very good communication and teamwork skills are particularly important for us - after all, we always have to work together on solutions

Before you submit your application, there are a few things you should think about: We need your current immatriculation certificate and your current grade level as well as an excerpt from the study regulations regarding the completion of a thesis in order to be able to process your application.

If you are not from the EU area, please also send us your valid residence permit and your work permit including the additional sheet.

Applications from severely handicapped people are welcome.

Additional Information

  • You will receive qualified support from our experienced specialists and PhDs to improve your professional knowledge and practical skills
  • Your commitment to us is fairly remunerated: We know that your work is valuable and want to ensure that you are adequately remunerated
  • We offer you flexible working hours with hybrid working models, where you have the opportunity to occasionally work from home, because we know how important the interaction of private and professional life is.
  • Our location is centrally located in Berlin and we look forward to welcoming you to our Co-Working Space AI Campus
  • We provide a powerful GPU infrastructure, because only with excellent technology can we achieve great
  • Participate in journal clubs and networking events and share technical topics with your colleagues on campus

If you find yourself in our position and feel like working with us on exciting projects, then apply now and become part of our team!

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.

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What You Should Know About Master Thesis - 3D Gaussian-Based SLAM for Autonomous Driving - REF72525L, Continental

Are you ready to dive into the exciting world of cutting-edge technology? At Continental, we're looking for a passionate Master Thesis student to explore 3D Gaussian-Based SLAM for Autonomous Driving. Located at our vibrant AI Lab in Berlin, this six-month journey starting in February will give you a hands-on experience in enhancing the visual and localization quality of advanced SLAM methods. While we’d love to see you in our office at Max-Urich-Straße 3, we understand the importance of flexibility, so working from home is an option too! In this role, you'll be collaborating with skilled professionals, gaining insights, and perhaps preparing for a future in research or even a PhD. To join us, you should be studying Artificial Intelligence, Machine Learning, Computer Vision, or similar fields. Strong Python programming skills are essential, and familiarity with SLAM, deep learning, and 3D perception will set you apart. But above all, we’re looking for independent thinkers who value high quality work and possess a genuine curiosity about technology. If you're eager to contribute to meaningful projects and benefit from expert mentorship while being part of our inclusive and dynamic team, we want to hear from you! Let's embark on this innovative journey together and drive the future of mobility at Continental.

Frequently Asked Questions (FAQs) for Master Thesis - 3D Gaussian-Based SLAM for Autonomous Driving - REF72525L Role at Continental
What are the responsibilities of a Master Thesis student focusing on 3D Gaussian-Based SLAM for Autonomous Driving at Continental?

As a Master Thesis student in the 3D Gaussian-Based SLAM for Autonomous Driving program at Continental, you'll primarily work on enhancing the visual and localization quality of SLAM methods tailored for autonomous driving applications. This involves applying your understanding of computer vision and programming skills in Python. Additionally, you’ll be collaborating with a supportive AI lab team to explore new methodologies and actively engage in critical discussions to refine the technology.

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What qualifications are needed for the Master Thesis position at Continental?

To be a strong candidate for the Master Thesis position at Continental, you should be pursuing studies in fields like Artificial Intelligence, Machine Learning, or Computer Vision. Strong programming skills in Python are a must, along with a keen interest in 3D computer vision technologies. Having experience with SLAM, Gaussian Splatting, deep learning frameworks like PyTorch, and software engineering projects will also be beneficial.

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Is remote work an option for the Master Thesis role focusing on 3D Gaussian-Based SLAM at Continental?

Yes! While we encourage you to work onsite at our Berlin office to maximize collaboration and learning, we understand the need for flexibility. For the Master Thesis position focusing on 3D Gaussian-Based SLAM, you can discuss remote work options with your supervisor to find a balance that suits your needs.

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What is the duration of the Master Thesis for 3D Gaussian-Based SLAM with Continental?

The duration of the Master Thesis focused on 3D Gaussian-Based SLAM at Continental is six months, starting from February. This timeframe allows for in-depth research and development in the field of autonomous driving technologies while receiving mentorship and support from experienced professionals.

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What type of projects will the Master Thesis student work on at Continental?

As a Master Thesis student working on 3D Gaussian-Based SLAM at Continental, you will engage in projects aimed at improving the localization and visual quality of autonomous systems. This role includes employing advanced algorithms, conducting experiments, and collaborating with specialists to drive innovation in mobility technology.

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Common Interview Questions for Master Thesis - 3D Gaussian-Based SLAM for Autonomous Driving - REF72525L
Can you explain your understanding of SLAM and its significance for autonomous driving?

SLAM, or Simultaneous Localization and Mapping, is critical for enabling autonomous vehicles to map their surroundings while simultaneously determining their own location. In your answer, highlight its application in 3D environments, the importance of real-time processing, and the challenges faced, such as sensor noise and dynamic obstacles.

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What programming languages and tools are you proficient in, and how do they relate to the Master Thesis?

Be prepared to discuss your proficiency in Python, as it is crucial for implementing algorithms in the Master Thesis role. Mention any experience with libraries like OpenCV or PyTorch, and how your skills enhance your ability to conduct research effectively and produce high-quality code.

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How would you approach improving the visual quality and localization in SLAM systems?

Detail your thought process, starting with analyzing current methodology. Discuss techniques like dense mapping, error mitigation in sensor data, and incorporating machine learning models. Mention any prior experiences that have equipped you for such challenges.

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How do you prioritize tasks when faced with multiple deadlines, such as for the Master Thesis at Continental?

Explain your organizational strategies, such as using project management tools or prioritizing tasks by urgency and impact. Discuss how effective time management and communication with supervisors have helped you meet deadlines in past projects.

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Have you worked on any relevant research projects or internships related to 3D computer vision or SLAM?

Share specific examples of projects or internships where you utilized relevant technologies, focusing on your contribution and the results achieved. Highlight any research findings and how these experiences equipped you for the Master Thesis.

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What challenges do you foresee in working with 3D Gaussian SLAM, and how would you tackle them?

Discuss potential challenges like data sparsity or managing computational load, and explain your approach to overcoming these issues. Maybe mention how previous experiences have prepared you to think critically and innovatively in problem-solving scenarios.

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Why do you want to work at Continental for your Master Thesis?

Articulate your passion for technology and autonomous driving, aligning it with Continental’s commitment to innovation. Mention specific projects or values that resonate with you and how you see this role as an opportunity for growth and contribution.

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How do you plan to integrate feedback from supervisors and peers during your thesis?

Emphasize your open-mindedness to constructive criticism and your proactive approach to seeking feedback. Provide examples of how collaboration and peer input have positively influenced your previous work and learning experiences.

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What are your long-term goals in relation to research or technology in this field?

Share your aspirations, whether that's pursuing a PhD or working in the tech industry. Highlight how the Master Thesis at Continental will help you bridge your academic knowledge with practical experience, guiding you toward these goals.

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How do you stay updated with advancements in artificial intelligence and computer vision?

Discuss your strategies for staying informed, such as following industry blogs, attending workshops, or participating in online courses. Emphasize your commitment to lifelong learning and curiosity about new developments that impact your field.

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DATE POSTED
January 4, 2025

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