PhD for 3D Generative AI and Neural Scene Representations (NeRF) (f/m/div.)

PhD for 3D Generative AI and Neural Scene Representations (NeRF) (f/m/div.)

PhD for 3D Generative AI and Neural Scene Representations (NeRF) (f/m/div.)

PhD for 3D Generative AI and Neural Scene Representations (NeRF) (f/m/div.)

Full Time

/

Hildesheim, Germany

/

Bosch

Full Time

/

Hildesheim, Germany

/

Bosch

Full Time

/

Hildesheim, Germany

/

Bosch

Full Time

/

Hildesheim, Germany

/

Bosch

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

Are you passionate about the endless possibilities of 3D generative models and neural scene representations? The field is currently at the forefront of AI research and holds the promise of unlocking groundbreaking innovations. Our focus is to combine 3D generative models like Neural Radiance Fields (NeRF) to create photorealistic simulated environments at an unprecedented scale. NeRF has already demonstrated unparalleled quality for bounded scenes; however, its application in unbounded or outdoor scenarios remains vastly unsolved.

Why is this so vital? As advancements in AI continue to scale up (e.g., large-scale AI, foundational models), the necessity for vast amounts of training data becomes a limiting factor, especially in applications where acquiring such data is challenging. By merging the capabilities of NeRF with 3D generative models, this PhD project aims to address the challenge of large-scale data availability through the automatic creation of photorealistic simulated environments.

As a PhD candidate, you will delve into the interplay of 3D generative models and automated 3D scene creation, seeking to redefine the limitations of what is currently possible.

  • As a part of the Bosch Research Computer Vision Lab and the Bosch Center for Artificial Intelligence in Hildesheim, you collaborate with Bosch as well as with academic research groups, supervise students and engage in technology scouting.

  • Part of your work is to research, implement and evaluate the neural scene 3D representation as well as generative AI methods.

  • Evaluate your algorithms on real Bosch systems as well as data and participate in scientific benchmarks.

  • You will not have any industry project duties and your primary goal will be to perform academic research of the highest quality.

  • Last but not least, you will publish scientific articles, participate in scientific conferences and prepare your PhD thesis.

Qualifications

  • Education: excellent degree (Master) in Mathematics, Computer Science, Electrical Engineering, Physics or comparable

  • Experience and Knowledge: solid mathematical know-how, especially in linear algebra, geometry, probability theory and optimization, hands-on experience with Deep Learning frameworks such as TensorFlow or PyTorch, and proven Python programming skills

  • Personality and Working Practice: autonomous, systematic and proactive

  • Languages: fluent English, including advanced engineering topics and good German

Additional Information

Bosch Research
Bosch Center for Artificial Intelligence (BCAI)

Please submit all relevant documents (incl. motivation letter, curriculum vitae, and certificates).

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.

#LI-DNI

Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223

Need further information about the job?
Holger Janßen (Functional Department)
+49 5121 49 2102

Apply Here

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

Are you passionate about the endless possibilities of 3D generative models and neural scene representations? The field is currently at the forefront of AI research and holds the promise of unlocking groundbreaking innovations. Our focus is to combine 3D generative models like Neural Radiance Fields (NeRF) to create photorealistic simulated environments at an unprecedented scale. NeRF has already demonstrated unparalleled quality for bounded scenes; however, its application in unbounded or outdoor scenarios remains vastly unsolved.

Why is this so vital? As advancements in AI continue to scale up (e.g., large-scale AI, foundational models), the necessity for vast amounts of training data becomes a limiting factor, especially in applications where acquiring such data is challenging. By merging the capabilities of NeRF with 3D generative models, this PhD project aims to address the challenge of large-scale data availability through the automatic creation of photorealistic simulated environments.

As a PhD candidate, you will delve into the interplay of 3D generative models and automated 3D scene creation, seeking to redefine the limitations of what is currently possible.

  • As a part of the Bosch Research Computer Vision Lab and the Bosch Center for Artificial Intelligence in Hildesheim, you collaborate with Bosch as well as with academic research groups, supervise students and engage in technology scouting.

  • Part of your work is to research, implement and evaluate the neural scene 3D representation as well as generative AI methods.

  • Evaluate your algorithms on real Bosch systems as well as data and participate in scientific benchmarks.

  • You will not have any industry project duties and your primary goal will be to perform academic research of the highest quality.

  • Last but not least, you will publish scientific articles, participate in scientific conferences and prepare your PhD thesis.

Qualifications

  • Education: excellent degree (Master) in Mathematics, Computer Science, Electrical Engineering, Physics or comparable

  • Experience and Knowledge: solid mathematical know-how, especially in linear algebra, geometry, probability theory and optimization, hands-on experience with Deep Learning frameworks such as TensorFlow or PyTorch, and proven Python programming skills

  • Personality and Working Practice: autonomous, systematic and proactive

  • Languages: fluent English, including advanced engineering topics and good German

Additional Information

Bosch Research
Bosch Center for Artificial Intelligence (BCAI)

Please submit all relevant documents (incl. motivation letter, curriculum vitae, and certificates).

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.

#LI-DNI

Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223

Need further information about the job?
Holger Janßen (Functional Department)
+49 5121 49 2102

Apply Here

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

Are you passionate about the endless possibilities of 3D generative models and neural scene representations? The field is currently at the forefront of AI research and holds the promise of unlocking groundbreaking innovations. Our focus is to combine 3D generative models like Neural Radiance Fields (NeRF) to create photorealistic simulated environments at an unprecedented scale. NeRF has already demonstrated unparalleled quality for bounded scenes; however, its application in unbounded or outdoor scenarios remains vastly unsolved.

Why is this so vital? As advancements in AI continue to scale up (e.g., large-scale AI, foundational models), the necessity for vast amounts of training data becomes a limiting factor, especially in applications where acquiring such data is challenging. By merging the capabilities of NeRF with 3D generative models, this PhD project aims to address the challenge of large-scale data availability through the automatic creation of photorealistic simulated environments.

As a PhD candidate, you will delve into the interplay of 3D generative models and automated 3D scene creation, seeking to redefine the limitations of what is currently possible.

  • As a part of the Bosch Research Computer Vision Lab and the Bosch Center for Artificial Intelligence in Hildesheim, you collaborate with Bosch as well as with academic research groups, supervise students and engage in technology scouting.

  • Part of your work is to research, implement and evaluate the neural scene 3D representation as well as generative AI methods.

  • Evaluate your algorithms on real Bosch systems as well as data and participate in scientific benchmarks.

  • You will not have any industry project duties and your primary goal will be to perform academic research of the highest quality.

  • Last but not least, you will publish scientific articles, participate in scientific conferences and prepare your PhD thesis.

Qualifications

  • Education: excellent degree (Master) in Mathematics, Computer Science, Electrical Engineering, Physics or comparable

  • Experience and Knowledge: solid mathematical know-how, especially in linear algebra, geometry, probability theory and optimization, hands-on experience with Deep Learning frameworks such as TensorFlow or PyTorch, and proven Python programming skills

  • Personality and Working Practice: autonomous, systematic and proactive

  • Languages: fluent English, including advanced engineering topics and good German

Additional Information

Bosch Research
Bosch Center for Artificial Intelligence (BCAI)

Please submit all relevant documents (incl. motivation letter, curriculum vitae, and certificates).

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.

#LI-DNI

Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223

Need further information about the job?
Holger Janßen (Functional Department)
+49 5121 49 2102

Apply Here

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

Are you passionate about the endless possibilities of 3D generative models and neural scene representations? The field is currently at the forefront of AI research and holds the promise of unlocking groundbreaking innovations. Our focus is to combine 3D generative models like Neural Radiance Fields (NeRF) to create photorealistic simulated environments at an unprecedented scale. NeRF has already demonstrated unparalleled quality for bounded scenes; however, its application in unbounded or outdoor scenarios remains vastly unsolved.

Why is this so vital? As advancements in AI continue to scale up (e.g., large-scale AI, foundational models), the necessity for vast amounts of training data becomes a limiting factor, especially in applications where acquiring such data is challenging. By merging the capabilities of NeRF with 3D generative models, this PhD project aims to address the challenge of large-scale data availability through the automatic creation of photorealistic simulated environments.

As a PhD candidate, you will delve into the interplay of 3D generative models and automated 3D scene creation, seeking to redefine the limitations of what is currently possible.

  • As a part of the Bosch Research Computer Vision Lab and the Bosch Center for Artificial Intelligence in Hildesheim, you collaborate with Bosch as well as with academic research groups, supervise students and engage in technology scouting.

  • Part of your work is to research, implement and evaluate the neural scene 3D representation as well as generative AI methods.

  • Evaluate your algorithms on real Bosch systems as well as data and participate in scientific benchmarks.

  • You will not have any industry project duties and your primary goal will be to perform academic research of the highest quality.

  • Last but not least, you will publish scientific articles, participate in scientific conferences and prepare your PhD thesis.

Qualifications

  • Education: excellent degree (Master) in Mathematics, Computer Science, Electrical Engineering, Physics or comparable

  • Experience and Knowledge: solid mathematical know-how, especially in linear algebra, geometry, probability theory and optimization, hands-on experience with Deep Learning frameworks such as TensorFlow or PyTorch, and proven Python programming skills

  • Personality and Working Practice: autonomous, systematic and proactive

  • Languages: fluent English, including advanced engineering topics and good German

Additional Information

Bosch Research
Bosch Center for Artificial Intelligence (BCAI)

Please submit all relevant documents (incl. motivation letter, curriculum vitae, and certificates).

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.

#LI-DNI

Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223

Need further information about the job?
Holger Janßen (Functional Department)
+49 5121 49 2102

Apply Here