PhD - Foundation Models for Improving and Auditing Data at Scale

PhD - Foundation Models for Improving and Auditing Data at Scale bei Bosch Gruppe

HIER BEWERBEN:

https://www.stepstone.de/stellenangebote--phd-foundation-models-for-improving-and-auditing-data-at-scale-renningen-bosch-gruppe--11138977-inline.html?&cid=partner_kleinanzeigende___SP

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Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Employment type: Limited
Working hours: Full-Time
Joblocation: Renningen
We conduct cutting-edge deep learning research with a focus on data. We are looking for a motivated PhD student eager to delve into research on deep learning methods for improving and auditing data, as well as to explore their real-world applications for further improving the performance, reliability, and efficiency of AI models.

The goal of this position is to develop novel and automated data auditing methods, leveraging foundation models. These methods shall enable data analysis at scale, provide insights into models' generalization capabilities and aid performance estimation in new domains. Additionally, outcomes from data auditing will be utilized to improve data quality, e.g., pruning less relevant samples, adding more valuable ones, and generating advanced annotations to expedite learning with smaller models and model evaluation.

● As a PhD student in our team, you will innovate and automate data auditing methodologies for analyzing data diversity, coverage as well as biases, leveraging deep generative models and foundation models.
● In addition, you will advance data filtering and annotation strategies to optimize training efficiency as well as streamline model evaluation processes.
● You collaborate with Machine Learning as well as Computer Vision experts and publish in top-tier journals as well as conferences.
● Furthermore, you will discuss and develop new ideas within the Deep Learning research team at Bosch Corporate Research (CR).

● Education: excellent degree in Computer Science or related field with focus on Machine Learning/Deep Learning
● Experience and Knowledge: strong background and experience in Deep Learning, strong programming skills, in particular Python, knowledge in Deep Learning frameworks (TensorFlow, PyTorch, etc.), knowledge and experience in foundation models, generative models as well as out-of-distribution detection are a plus
● Enthusiasm: motivation to work in an interdisciplinary and international team
● Languages: fluent in English (written and spoken)

● Work-life balance: Flexible working in terms of time, place and working model.
● Health & Sport: Wide range of health and sports activities.
● Childcare: Intermediary service for childcare services.
● Employee discounts: Discounts for employees.
● Room for creativity: Space for creative work.
● In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.

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https://www.stepstone.de/stellenangebote--phd-foundation-models-for-improving-and-auditing-data-at-scale-renningen-bosch-gruppe--11138977-inline.html?&cid=partner_kleinanzeigende___SP