The Technical University of Nuremberg (UTN) offers an inspiring and interdisciplinary research environment with access to state-of-the-art resources. It is the ideal place to make groundbreaking discoveries and make a significant contribution to exciting research fields.
Six PhDs at UTN in the field of "Deep Learning – Large Language Models" (m/f/d) - CSAI-ML-25-04.
The Machine Learning Lab (Prof. Dr. Josif Grabocka) in the Department of Computer Science and Artificial Intelligence at the Technical University of Nuremberg (UTN) currently offers six fully funded PhD opportunities (3 years, 100% positions, TV-L E13) on the topic of Efficient Fine-Tuning and Alignment of Large Language Models.
We are looking for highly motivated and talented individuals who would like to join our dynamic and international research team and contribute to cutting-edge research in the field of large language models. The position is part of a newly established research laboratory in cooperation with the Bavarian State Tax Office, which is researching novel methods for fine-tuning and aligning large language models in the field of taxation.
Your responsibilities:
* Conducting scientific research to develop new methods for fine-tuning and aligning large language models
* Publication of research results at leading conferences and in journals such as NeurIPS, ICLR, ICML, IJCAI, AAAI, KDD, TMLR and JMLR
* Supporting Prof. Dr. Josif Grabocka in teaching courses such as Machine Learning, Deep Learning and Large Language Models at the Department of Computer Science and Artificial Intelligence at UTN
Your profile:
* A Master's degree (M.Sc.) in mathematics or computer science with very good grades
* In-depth knowledge of mathematics, probability theory, statistics and linear algebra
* A master's thesis with a clear focus on machine learning that goes beyond the mere application of ML to a specific task
* Strong programming skills
* Knowledge of PyTorch and training large-scale deep learning models on multiple nodes with multiple GPUs
* Very good communication and presentation skills in English are also crucial for this role
Interested?
If your profile meets the requirements, please upload the following documents with your application:
* A personal letter of motivation in which you explain the reasons for your desire to pursue your doctorate at UTN and why you are interested in this research field and the department.
* A complete chronological, tabular CV in English.
* Proof of your academic degrees (M.Sc. and B.Sc.) or equivalent qualifications.
* Transcript of Records, Diploma Supplements or course outlines of your degrees (M.Sc. and B.Sc. or equivalent).
* Your master's thesis
* (Optional) A link to your GitHub projects and any previous releases
Please note: If you obtained your degrees (M.Sc. or B.Sc. or equivalent) abroad, you must always submit the original version together with a translation into English or German. The translation must be prepared by a state-certified translator and bear an official seal.
Documents whose original language is English do not need to be translated.
If you are shortlisted, you will receive an invitation to an interview where you can present your research work.
Further information on the application process and admission requirements can be found at
Further information on salary group TV-L E13 can be found at
. Please note: We cannot reimburse travel expenses and other expenses incurred in connection with the application. Do
you have any questions?
Please direct all inquiries regarding the content to Prof. Dr. Josif Grabocka (
josif.grabocka@utn.de
). If you have general questions, please contact
stars@utn.de
The University of Technology Nuremberg (UTN) offers a stimulating and interdisciplinary research environment with access to cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute to exciting fields of research.
Six doctoral researcher (Ph.D.) positions at UTN in the field of “Deep Learning – Large Language Models” (m/f/d) - CSAI-ML-25-04
The Machine Learning Lab (Prof. Dr. Josif Grabocka) at the Department of Computer Science and Artificial Intelligence of the University of Technology Nuremberg (UTN) is currently offering six openings for fully funded doctoral research opportunities (100% position – TVL E13) on the topic: Efficient Fine-Tuning and Alignment of Large Language Models.
We are seeking highly motivated and talented individuals to join our dynamic and international research team and contribute to cutting-edge research in the field of Large Language Models. The position will be part of a newly-established research lab in cooperation with the Bavarian Tax Office (Bavarian State Office for Taxes), which researches novel methods to fine-tune and align Large Language Models in the application realm of taxation.
Your tasks:
* Conduct scientific research in discovering novel methods for fine-tuning and aligning Large Language Models
* Publish your research results at leading academic conferences and journals, such as NeurIPS, ICLR, ICML, IJCAI, AAAI, KDD, TMLR, and JMLR
* Assist Prof. Dr. Josif Grabocka in teaching courses such as Machine Learning, Deep Learning, and Large Language Models at the Department of Computer Science and Artificial Intelligence of UTN
Your profile:
* A M.Sc. degree in Mathematics or Computer Science with top grades
* Advanced knowledge of Math, Probability, Statistics, and Linear Algebra
* A M.Sc. thesis with a deep focus on Machine Learning, which goes beyond simply applying ML to a specific application
* Strong programming skills
* Knowledge of PyTorch and training large-scale Deep Learning models on multiple nodes with multiple GPUs
* Effective communication and presentation abilities in English are also crucial in this role
Interested?
If your profile matches the requirements, please upload the following documents:
* A personal statement that explains why you want to pursue a doctorate at UTN as well as why this research area and department interests you.
* A complete, chronological, tabular curriculum vitae (CV) in English.
* Certificates of your university degrees (e.g., M.Sc. degree and B.Sc. degree) or other equivalent qualification.
* Transcript of records, diploma supplements, or overview of courses from your university degrees (M.Sc. degree and B.Sc. degree).
* Your M.Sc. thesis
* (Optional) A link to your GitHub projects and any prior publications
Please note: If your degrees (Master's and Bachelor's degree or equivalent) were obtained abroad, you must always submit the original version along with a translation into English or German by a certified translator, bearing an official seal, as a single combined document. Documents originally issued in English do not require a translation.
If you are shortlisted, you will be invited for an interview.
For more information on the application process and admission requirements see
For more information on the TV-L E13 payscale see
. Please note: Travel expenses and any other costs related to the application process cannot be reimbursed.
Questions?
For any scientific inquiries, please contact Prof. Dr. Josif Grabocka (
josif.grabocka@utn.de
). For general questions, please reach out to
stars@utn.de