Intern Automation and Computer Vision in Microscopy

vor 3 Wochen

Munich, Bayern, Deutschland ZEISS Gruppe Vollzeit


locationsMünchenFull timeposted onPosted Todayjob requisition idJR_1033942Your RoleIn this role you will be part of a team called ZEISS Solutions Lab.

You will build customized automation solutions for ZEISS customers that need support for special light microscopy applications. Typically, these solutions encompass a completely automated LM workflow from image acquisition to the image analysis.

Applications usually come from quality labs in the pharma, manufacturing or electronics industry, although, use cases may arise from any business area.

Together with our data scientists you will implement full HW automation and computer vision pipelines ranging from microscope control to the preprocessing of images to the detecting and segmenting of objects and the final statistical analysis.

You will have the possibility to improve your knowledge in many areas, such as the application of deep learning models and image processing algorithms or in advanced software engineering topics.

Your ProfileStrong proficiency with Python and the scientific ecosystem (e.g. numpy, matplotlib, pandas)

Taken classes in the fields of computer science, mathematics, physics or any other STEM subject with advanced programming skillsSuccessfully completed at least 2 years of studyFluent English or GermanDeep curiosity and willingness to dive into new subject areasAbility to work in an independent, goal- and output-oriented mannerGood communication skills in order to work with our customersFun working in agile, interdisciplinary teams ​The following will be considered an advantage:

Familiarity with computer vision packages for Python, such as sciki-imageFirst experience with light microscopesFirst experience with machine learningJoin us today.

Inspire people tomorrow.
Diversity is a part of ZEISS.

We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now It takes less than 10 minutes.

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