Working Student for Computer Vision and Generative AI starting June 2024

Updated: 19 days ago
Job Type: FullTime
Deadline: 13 Jun 2024

15 May 2024
Job Information
Organisation/Company

Mercedes-Benz Group
Research Field

Computer science
Researcher Profile

Recognised Researcher (R2)
Country

Germany
Application Deadline

13 Jun 2024 - 00:00 (UTC)
Type of Contract

To be defined
Job Status

Full-time
Hours Per Week

To be defined
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Aufgaben Are you passionate about robots taking over the world? Then look no further! We are constantly looking for highly motivated students to join our autonomous car research team in Stuttgart, Germany in the following area:
Current sensors such as stereo cameras or lidar often malfunction or even fail in adverse weather where the accident risk is very high. Within the publicly funded projects AI-SEE (ai-see.eu) and nxtAIM (nxtaim.de), we experiment with novel neural network architectures and sensor fusion networks to enhance disturbed sensor streams and to make object detection robust in adverse weather. Moreover, we apply our algorithms onto latest innovative sensor technologies developed in the projects to enable autonomous cars to drive in every situation. You can expect plenty of GPU resources, international colleagues and the occasional cake (you need to bring one too).
Qualifikationen Minimum Skills Required:

  • Pursuing a Master's degree in a highly quantitative field such as Computer Science, Physics, Mathematics, Electrical Engineering or adjacent fields
  • Looking for a Working Student or a Master Thesis
  • Fluency in English and/or German
  • Strong programming skills in an object oriented programming language such as Python/ C++
  • Familiarity with Linux
  • Ability to think ahead/Independence

Nice to haves but not required:

  • Familiarity with deep learning frameworks such as Tensorflow or PyTorch
  • Familiarity with Computer Vision, Foundation Models, Generative AI
  • Familiar with Convolutional Neural Networks/Vision Transformers/Diffusion Networks
  • Experience in deep-learning based Object Detection/Depth Estimation/Semantic Segmentation

Additional Information:

  • The position is at our research lab in Böblingen
  • We prefer candidates available for 6-12 months
  • For more information don't hesitate to write a mail


Additional information:
It doesn't work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form
Please find the criteria of employment "here"
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: [email protected]
Please understand that we no longer accept paper applications and that there is no right to get your documents returned
If you have any questions regarding the application process, please contact HR Services by e-mail at [email protected] or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.)


Requirements
Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Mercedes-Benz Group
Country
Germany
Geofield


Where to apply
Website

https://illbeback.ai/job/working-student-for-computer-vision-and-generative-ai-…

STATUS: EXPIRED

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