Jobs for Doctoral Researchers

Doctoral researcher (Ph.D.) positions at UTN with the topic of „Energy Systems & Market Design“ (m/f/d)

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.

The Department of Liberal Arts and Sciences with its Energy Systems and Market Design Lab is currently offering several openings for doctoral research opportunities (3 years, 75%, TVL-13). We are seeking highly motivated and talented individuals to join our dynamic and international research team, which has built up a strong expertise in the area of energy market modelling and is involved in various joint activities with industrial partners and policy consulting projects. The Lab participates in the collaborative research center DFG Transregio 154: Mathematical Modelling, Simulation and Optimization using the Example of Gas Networks and the Kopernikus project ARIADNE on policymaking for the German energy transition. The research group offers a lively research environment, financial support for attending conferences, and an intensive supervision within a large and interactive team.

Your Tasks:

The applicant will work at the Energy Systems and Market Design Lab, which brings together interdisciplinary methodological and applied research on the energy transformation. Within a specific research project, the candidate will focus on one of the following topics:

(i) German and European energy market design
(ii) regional incentives for flexibility in electricity markets
(iii) the energy transition in urban quarters
(iv) sector coupling and energy prices
(v) international hydrogen markets

The successful candidate will contribute the perspectives of their research to the activities of the lab and benefit from the team’s diverse perspectives on the transformation of the economy and society. A particular joint focus of the research group is the interplay between the energy transformation and artificial intelligence. The successful candidate is expected to work towards obtaining a Ph.D. within the doctoral program at UTN.

Your Profile:

Applicants should have a qualified degree in industrial engineering, economics, mathematics, operations research, or a closely related discipline with fundamental knowledge in microeconomics and mathematical modelling. The ideal candidate has initial experience in theoretical or empirical research in energy markets and should have a strong quantitative background. Proficiency in oral and written German and English is required.

If your profile matches the requirements, please send the following documents:

• A personal statement that explains why you want to pursue a doctorate at UTN as well as which research area and department interests you and why
• A complete, chronical, tabular curriculum vitae (CV) in English
• Certificates of your university degrees (M.Sc. degree and B.Sc.) or other equivalent qualification
• Transcript of records, diploma supplements, or overview of courses from your university degrees (M.Sc. degree and B.Sc.)

Interested?

To apply for admission to doctoral research, please send your application to (Code: LiAS-ESMD-24-01) stars@utn.de.

For more information on the application process and admission requirements see https://www.utn.de/en/research/doctoral-degree/.

If you are shortlisted, you will be invited for an interview and an opportunity to present your research work.
For any content-related inquiries, please contact Dr. Julia Grübel (julia.gruebel@utn.de). For general questions, please reach out to stars@utn.de.

Two doctoral researcher (Ph.D.) positions at UTN with the topic of “Educational Technologies Focused on AI in Teaching and Learning” (m/f/d)

The University of Technology Nuremberg (UTN) offers an inspiring and interdisciplinary research environment with access to cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute to exciting research fields.

UTN is currently offering openings for two fully funded doctoral research opportunities (3 years, 100% position – TVL E13). We are looking for highly motivated and talented individuals to strengthen our dynamic and international research team in the field of Educational Technologies Research with a focus on AI tools in teaching and learning. You will work, among other things, in the Digital LEAD Lab of UTN and help establish and organize the UX-LX Lab.

Your Tasks:

• Research on Educational Technologies, Learning Technologies, or Instructional Design, especially the design and development of AI tools in teaching and learning.
• Participation in the Digital LEAD Lab; for example, further development of the UTN teaching and learning concept, conducting empirical studies.
• Research on Learning Experience Design (User Experience).
• Coordination of UX-LX Lab, including guiding student assistants.

Your Profile:

• Completed Master’s degree level (or equivalent) with a focus on Educational Technologies.
• Interest in interdisciplinary collaboration.
• Previous experience in the field of Educational Technologies is desirable.
• Very good German and English skills or willingness to learn German/English.

If your profile matches the requirements, please send the following documents:

• A personal statement that explains why you want to pursue a doctorate at UTN as well as which research area and department interests you and why
• A CV in English
• Certificates of your university degrees (M.Sc. degree and B.Sc.) or other equivalent qualification
• Transcript of records, diploma supplements, or overview of courses from your university degrees (M.Sc. degree and B.Sc.)

Interested?

To apply for admission to doctoral research, please send your application (Code: ENG-LEARN-24-02) to stars@utn.de. For more information on the application process and admission requirements see https://www.utn.de/en/research/doctoral-degree/.
For more information on the TV-L E13 payroll see https://oeffentlicher-dienst.info/tv-l/allg/

If you are shortlisted, you will be invited for an interview and an opportunity to present your research work.

For any content-related inquiries, please contact Vice President for Academic and International Affairs, Professor of Learning Technologies, Prof. Dr. Isa Jahnke (vp-learning@utn.de). For general questions, please reach out to stars@utn.de.

Doctoral researcher (Ph.D.) position available at UTN in the Field of
“User Experience, Learning Experience Design, and Usability Research” (m/f/d)

The University of Technology Nuremberg (UTN) offers an inspiring and interdisciplinary research environment with access cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute significantly to exciting research fields.

UTN provides the opportunity for a fully funded interdisciplinary Ph.D. degree. We are looking for highly motivated and talented individuals to strengthen our dynamic and international research team in the field of User Experience (UX) and Learning Experience Design (LXD) Research (including Usability, socio-technical heuristics). You will work, among other things, on the UTN campus-management-system project, such as demonstrating User Experience in UTNexus. You will be involved in agile design and development processes with the internal software development team and may collaborate with an external service provider. A Campus Management System (CaMS) can be understood as a socio-technical intertwining of technical artifacts and social practices. From this perspective, further research in the field of UX and LX is necessary.

Your Tasks:

• In the UTN campus-management-system project, you will investigate how this system can be optimized in terms of user-friendliness, look & feel, effectiveness, efficiency, and adherence to standards, e.g., ISO 9241.
• Examining of socio-technical heuristics (or socio-technical-pedagogical usability).
• Optimizing the user experience including application and development of user-centered design strategies.
• Studying on socio-technical heuristics and further development of user experience or learning experience methods.
• Establishing the UX-LX lab, including advising student assistants.

Your Profile:

• Completed Master’s degree level (or equivalent) with a focus on User Experience or Usability.
• Interest in interdisciplinary collaboration.
• Previous experience in the UX field is desirable.
• Fluent German and English skills or willingness to learn German/English.

Interested?

Please send your application for admission to the Ph.D. program to stars@utn.de. Further information on admission requirements can be found at https://www.utn.de/de/forschung/promotion/.

If you are selected for an interview, you have the opportunity to present your research ideas.

For any content-related inquiries, please contact Vice President for Academic and International Affairs, Professor of Learning Technologies, Prof. Dr. Isa Jahnke (vp-learning@utn.de). For general questions, please reach out to stars@utn.de.

Doctoral researcher (Ph.D.) position available at UTN in the field of “Classical Philology with a focus on Greek Studies and a topic in Plato Research” (m/f/d)“ (m/w/d)

The University of Technology Nuremberg (UTN) offers an inspiring and interdisciplinary research environment with access to cutting-edge resources. It is the ideal place to make groundbreaking discoveries and contribute significantly to exciting research fields.

The Department of Liberal Arts and Sciences at the University of Technology Nuremberg (UTN) offers the opportunity for a fully funded interdisciplinary Ph.D. We are looking for highly motivated and talented individuals to strengthen our dynamic and international research team and contribute to pioneering research in the field of Classical Philology, especially Greek Studies and a research focus on Platonic studies.

The Department of Liberal Arts and Sciences at the University of Technology Nuremberg is in its formation stage. It aims for particularly intensive cooperation between the humanities, social sciences, natural sciences, and engineering. The University of Technology Nuremberg strives to incorporate the knowledge and expertise of humanities disciplines into shaping the transition to a sustainable society. Ph.D. candidates are expected to be willing to engage in these research collaborations within the department. Additionally, candidates will be required to teach at least one course per semester in the various study programs currently being developed.

Your Profile:

• Completed academic university degree (State Examination or Master’s) in Classical Philology
• Outstanding academic record in Classical Philology (major in Greek Studies); demonstrated in-depth knowledge of ancient philosophy, particularly Platonism and Aristotelianism in antiquity and late antiquity
• Extensive literary knowledge of key authors in ancient Greek literature and the history of knowledge
• Interest in interdisciplinary collaboration in research and teaching

As part of your academic qualification, you will participate in research and teaching under the supervision of Prof. Dr. Gyburg Uhlmann. The research focuses include “Artes liberales: Science and Education” and “Rhetoric and Philosophy: Opinion and Reasoned Knowledge,” as well as general studies in philosophy, educational theory and practice, rhetoric, and theory of science in the 4th century BCE in Athens and various forms of Platonism and Aristotelianism in antiquity and late antiquity. Your duties will also include assisting in the organization of academic events and coordinating school cooperation activities. The dissertation should address a topic in Plato research within the aforementioned research focuses.

Interested?

Please send your application for admission to the Ph.D. program to stars@utn.de. Further information on admission requirements can be found at https://www.utn.de/en/research/doctoral-degree/.

If you are shortlisted, you will be invited to an interview and have the opportunity to present your previous research work.

Please direct all content-related inquiries to Prof. Dr. Gyburg Uhlmann (gyburg.uhlmann@utn.de). For general questions, please contact stars@utn.de.

Opportunity for doctoral research at UTN“ (m/w/d)

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.

The Department of Engineering at UTN is currently offering openings for two fully funded doctoral research opportunities (100% position – TVL E13) in the Machine Learning lab headed by Prof. Dr. Josif Grabocka.

https://www.utn.de/en/departments/department-engineering/machine-learning-lab/

We are seeking highly motivated and talented individuals to join our dynamic and international research team and contribute to cutting-edge research in machine learning. You will also assist Prof. Dr. Josif Grabocka in terms of teaching support and other administrational tasks.

Position Requirements:

• 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
• Very good knowledge of PyTorch and training large-scale Deep Learning models

How do I know if my level of Machine Learning knowledge is sufficient?
If you know well and comfortably understand most chapters of the following book, then your ML level is sufficient. (https://github.com/probml/pml-book/releases/latest/download/book1.pdf)

If your profile matches the requirements, please send the following documents as a zip file “name.surname.zip” with the subject “Application – Ph.D.”.

• a personal statement that explains why you want to pursue a doctorate at UTN as well as which research area and department interests you and why
• a copy of your identity card or passport
• a complete, chronical, tabular curriculum vitae (CV) in English
• certificates of your university degrees (M.Sc. degree and B.Sc.) or other equivalent qualification
• transcript of records, diploma supplements, or overview of courses from your university degrees (M.Sc. degree and B.Sc.)
• your M.Sc. thesis
• A link to your GitHub projects
• [Optional] Any prior publications

To apply for admission to doctoral research, please send your application to stars@utn.de.

For more information on the application process and admission requirements see
https://www.utn.de/en/research/doctoral-degree/.
For more information on the TV-L E13 payscale see https://oeffentlicher-dienst.info/tv-l/allg/.

If you are shortlisted, you will be invited for an interview and an opportunity to present your research work.

For any inquiries, please contact: machine-learning@utn.de.