PhD Position in Foundation Models for Data Compression at the Data Systems Lab
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Datum: vor 11 Stunden
Stadt: Nürnberg, Bayern
Vertragstyp: Ganztags
University: TU Nuremberg
Country: Germany
Deadline: Not specified
Fields: Computer Science, Data Science, Machine Learning, Information Systems, Electrical Engineering
The Data Systems Lab at TU Nuremberg invites applications for a fully funded PhD position in the area of foundation models for data compression. This position is offered in collaboration with the Machine Learning Lab led by Professor Josif Grabocka and focuses on systems-oriented research at the intersection of databases and machine learning.
The successful candidate will join a dynamic team in Nuremberg, a city known for its vibrant atmosphere and rich history, and will benefit from a stimulating research environment and an excellent quality of life.
Requirements
– A strong academic background in computer science, data science, machine learning, information systems, electrical engineering, or a closely related field
– Demonstrated interest in systems-oriented research
– Motivation to work collaboratively in an interdisciplinary research team
– Proficiency in English (written and spoken)
This position has been advertised by Professor Andreas Kip on LinkedIn.
For more information about our research and team, please visit: https://lnkd.in/dNBneQ4u
To apply or inquire further, please contact: [email protected]
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Also See
Country: Germany
Deadline: Not specified
Fields: Computer Science, Data Science, Machine Learning, Information Systems, Electrical Engineering
The Data Systems Lab at TU Nuremberg invites applications for a fully funded PhD position in the area of foundation models for data compression. This position is offered in collaboration with the Machine Learning Lab led by Professor Josif Grabocka and focuses on systems-oriented research at the intersection of databases and machine learning.
The successful candidate will join a dynamic team in Nuremberg, a city known for its vibrant atmosphere and rich history, and will benefit from a stimulating research environment and an excellent quality of life.
Requirements
– A strong academic background in computer science, data science, machine learning, information systems, electrical engineering, or a closely related field
– Demonstrated interest in systems-oriented research
– Motivation to work collaboratively in an interdisciplinary research team
– Proficiency in English (written and spoken)
This position has been advertised by Professor Andreas Kip on LinkedIn.
For more information about our research and team, please visit: https://lnkd.in/dNBneQ4u
To apply or inquire further, please contact: [email protected]
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Found this opportunity helpful? Support us with a coffee!
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