Learning specialist Jobs in Eberdingen

Causal inference is one of the major challenges in AI and a core task in many disciplines. The use of synthetic but realistic data is a promising approach as it allows arbitrary parameter settings and the generation of interventional data.

• During your thesis you will benchmark the existing causal inference methods.
• You will develop new causal inference methods and applicationdriven evaluation metrics.
• Finally you will work as part of a global research team in the area of Causal Discovery and Inference serving different use cases within Bosch. Ideally the results of your work will be part of a scientific publication.

Qualifications :

Additional Information :

Start :  according to prior agreement

Duration :  6 months

Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

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Nicholas Tagliapietra (Functional Department)

Jrgen Lttin (Functional Department)

49 9

LIDNI

Remote Work : Employment Type :

Fulltime

Key Skills

Dermatology,Communication,Excel,Furniture,Airlines,Jboss

Vacancy : 1