The Augmented Vision Department of DFKI, led by Prof. Dr. Didier Stricker, is looking for a research assistant (Hiwi) interested in developing and creating an annotation tool by the use of SAM or other
recent foundation models

Your Task

• support the development of anannotation tool integrating the Segment Anything Model (SAM)
• train, test and integrate state-of-the-art detectionand segmentation models
• conduct literature research to address upcoming challenges
• contribute your own ideas and solutions
• work upto 40 hours per month

Your Qualifications

• basic knowledge in Computer Vision and Deep Learning
• strong programming skills in Python
• advanced Bachelor or Master student
• reliable and conscientious working style
• good communication in English or German

Your Benefits

• enhance your skills in the field of Computer Vision and Deep Learning
• collaborate in an industry-related project focused in plastic waste sorting and recycling (ReVise-UP)
• enjoy flexible working times for better compatibility with studies

Application Process

• send me your motivation why you are the right person for the job
• attach your CV and latest transcript
• application in German is possible
• application only via mail

Apply latest by: 15.09.2024

Contact:
Pelle Thielmann
Email: pelle.thielmann@dfki.de