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Künstliche Intelligenz gewinnt auch für die Informationsbeschaffung und den Wissensaustausch in der Wissenschaft eine immer größere Bedeutung. Zu den Chancen
der Kombination von Sprachmodellen wie ChatGPT und Wissensgraphen.
Von Dr. Oliver Karras, Dr. Anna-Lena Lorenz und Prof. Dr. Sören Auer.
Dr. Oliver Karras ist Forscher und Datenwissenschaftler an der TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften.
Dr. Anna-Lena Lorenz ist Community Managerin des Open Research Knowledge Graph an der TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften.
Sören Auer ist Professor für Datenwissenschaft und digitale Bibliotheken und Direktor der TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften.
Zum Artikel "Chancen einer KI-gestützten Wissenschaft"
Quellen:Erschienen in Forschung & Lehre 9/2024
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ChatGPT und das Recht - Eine juristische Einschätzung zur Anwendung von KI-Textgeneratoren an den Hochschulen
Ein Projektteam der Universitäten Bochum und Münster hat im Frühjahr dieses Jahres ein Rechtsgutachten zum Umgang mit auf Künstlicher Intelligenz (KI) basierten Schreibtools wie ChatGPT veröffentlicht. Wie einer der beteiligten Wissenschaftler nach einigen weiteren Monaten Erfahrung mit ChatGPT in Lehre und Forschung auf die Situation blickt.
Prof. Dr. Thomas Hoeren ist Professor an der Rechtswissenschaftlichen Fakultät der Universität Münster.
Quellen:Erschienen in Forschung & Lehre 11-2023
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ful_11-2023_ChatGPT_und_das_Recht_Hoeren.pdf
310.68 KB | 04.12.23 ( )
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16. Deutscher Hochschulrechtstag: Künstliche Intelligenz im Hochschulbereich
Veranstalter: | - | ||
Ort: | - | ||
Start: | Ende: |
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Hochschulrechtstag_2023_Flyer.pdf
2.8 MB | 07.08.23 ( )
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Künstliche Intelligenz bei Abschlussarbeiten: Warum es neue Ansätze für die Kompetenzüberprüfung von Studierenden braucht
Mündliche Verteidigungen von Abschlussarbeiten sollen aufdecken, ob Studierende ihre Texte selbst oder mithilfe von KI verfasst haben. Die Intention ist nachvollziehbar, aber der Weg muss ein anderer sein. Ein Aufruf zu weiteren Analysen und Diskussionen.
Prof. Dr. André Marchand ist Professor für BWL, insbesondere Marketing, und Direktor des Instituts für Service & Relationship Management an der Universität Leipzig.
Quellen:Erschienen in Forschung & Lehre 8-2023
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ful_8-2023_KI_bei_Abschlussarbeiten_Marchand.pdf
134.63 KB | 05.08.23 ( )
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Doctoral Candidate (m/f/d) in Intelligent Power Electronics
Kontakt: | Dominik Schneider | ||
Ort: | 85049 Ingolstadt, Donau | ||
Web: | https://jobs.b-ite.com/jobposting/1d56eed58672295fe8d9ba299d0681854061e1710 | Bewerbungsfrist: | 09.08.23 |
Electromobility? Learning systems? The Electromobility and Learning Systems (ELS) research group is part of the Institute for Innovative Mobility (IIMo) and researches application-driven methods for the development, production and operation of electric vehicles. Shape the mobility of the future with us!
https://www.thi.de/forschung/institut-fuer-innovative-mobilitaet-iimo/els/
Your tasks
One of your possible topics:
Research and design of innovative high-efficiency inverter topologies such as Multilevel Inverters
Analysis and implementation of advanced control algorithms for power electronic modules
Application of Machine Learning algorithms for Predictive Maintenance and Digital Twin development of power converters
Research and development of lightweight high-power DC-DC converters for Unmanned Aerial Vehicles (UAV)
Investigation of Variable Input High-Power Inverters in GaN or SiC Technology
Your profile
Scientific university degree in electrical engineering, computer science, mechatronics, mechanical engineering or a related field
Knowledge in power electronics or related fields through your studies or previous projects
Proficiency in using simulation tools (Matlab, Simulink, Simscape) and programming languages (C/C++, Python)
Experiences in hardware development and with low-level programming of microcontrollers is advantageous
Confidence in using circuit simulators such as LTSpice as well as aboratory equipment (Power supplies, Soldering station, Oscilloscope) is advantageous
Experience in working with electric drive test benches and HIL-systems is advantageous
Excellent command of German and English
What we offer
excellent labratory equipment
innovative working environment
collaboration with industry partners
comprehensive support & guidance
future oriented learning opportunities
doctorate in engineering and information science
homeoffice & mobile working
flexible working hours
canteen & restaurant
parking on the campus
Short info
Contract: 40.10 h/week
Duration: 36 months (contract extension being sought)
Payment: according to TV-L EG 13
Location: Ingolstadt
Application until: 08.09.2023
Good to know: In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).
Contact
ANR 1159
please feel free to contact
Dominik Schneider
karriere@thi.de
+49 841 9348-5064
We look forward to you!
- Bisher keine Ordner/Dateien vorhanden.
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Stellenangebote des Autors
Research Associate (m/f/d) Embedded Software Development
Kontakt: | Dominik Schneider | ||
Ort: | 85049 Ingolstadt, Donau | ||
Web: | https://jobs.b-ite.com/jobposting/40e223362c6c80c9b7227203a1ee87a3e657ef6a0 | Bewerbungsfrist: | 09.08.23 |
Electromobility? Learning systems? The Electromobility and Learning Systems (ELS) research group is part of the Institute for Innovative Mobility (IIMo) and researches application-driven methods for the development, production and operation of electric vehicles. Shape the mobility of the future with us!
https://www.thi.de/forschung/institut-fuer-innovative-mobilitaet-iimo/els/
Your tasks
Development and evaluation of software and communication concepts for innovative embedded systems in the field of electromobility
Implementation and testing of prototype software
Scientific investigations of software-based concepts for Intelligent Drive Systems in the areas of:
Novel communication techniques for massively distributed systems
Strategies to increase the safety of electric drives
Security concepts for integrity protection
Massive parallelization and distribution of management software
Implementation of AI algorithms for management
Possibility of doctoral studies for professional and personal development
Your profile
Scientific university degree in electrical engineering, physics, mechanical engineering or a related field
Experience in working with C/C++ and scripting languages (Python) as well as Matlab/Simulink
Experience in scientific work and in the development of safety-critical systems as well as knowledge of distributed systems and multi-core architectures are desirable
Excellent command of German and English
Ability to work independently and in a team
What we offer
excellent labratory equipment
innovative working environment
collaboration with industry partners
comprehensive support & guidance
future oriented learning opportunities
doctorate in engineering and information science
homeoffice & mobile working
flexible working hours
canteen & restaurant
parking on the campus
Short info
Contract: 40.10 h/week
Duration: 36 months (contract extension being sought)
Payment: according to TV-L EG 13
Location: Ingolstadt
Application until: 08.09.2023
Good to know: In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).
Contact
ANR 1158
please feel free to contact
Dominik Schneider
karriere@thi.de
+49 841 9348-5064
We look forward to you!
- Bisher keine Ordner/Dateien vorhanden.
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Keine Inhalte
Stellenangebote des Autors
Research Associate (m/f/d) AI in Electric Drive Systems
Kontakt: | Dominik Schneider | ||
Ort: | 85049 Ingolstadt, Donau | ||
Web: | https://jobs.b-ite.com/jobposting/fb584131ce5da2e5d04386f225851b6c6c734cfc0 | Bewerbungsfrist: | 09.08.23 |
Electromobility? Learning systems? The Electromobility and Learning Systems (ELS) research group is part of the Institute for Innovative Mobility (IIMo) and researches application-driven methods for the development, production and operation of electric vehicles. Shape the mobility of the future with us!
https://www.thi.de/forschung/institut-fuer-innovative-mobilitaet-iimo/els/
Your tasks
Develop and implement advanced AI algorithms, focusing on their application in the production and operation of electrical drive systems.
Analyze production and operation data to extract relevant features, employing advanced data-driven approaches.
Integrate AI systems into existing lab test benches to enhance electric mobility solutions.
Collaborate closely with industry partners to apply and validate the developed solutions, ensuring real-world impact.
Publish research results in reputable journals and conferences, sharing knowledge and driving further advancements.
Work collaboratively with a diverse team of engineers and scientists from different disciplines and fields of expertise.
Explore the opportunity to pursue a Ph.D. in a relevant research area and significantly contribute to your academic journey.
Your profile
Scientific university degree in artificial intelligence, computer science, electrical engineering, mechanical engineering, or a related field
Proficient knowledge of artificial intelligence, machine learning, and data analysis
Proficiency in programming languages such as Python, MATLAB, R, or C++
Hands-on experience with popular machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn is an advantage
Familiarity with electric drive systems or production processes is advantageous
Excellent command of German and English
Enthusiasm for innovative technologies in electric mobility and manufacturing as well as cxvellent communication and teamwork skills, coupled with a structured and independent approach to work
What we offer
excellent labratory equipment
innovative working environment
collaboration with industry partners
comprehensive support & guidance
future oriented learning opportunities
doctorate in engineering and information science
homeoffice & mobile working
flexible working hours
canteen & restaurant
parking on the campus
Short info
Contract: 40.10 h/week
Duration: 36 months (contract extension being sought)
Payment: according to TV-L EG 13
Location: Ingolstadt
Application until: 08.09.2023
Good to know: In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).
Contact
ANR 1157
please feel free to contact
Dominik Schneider
karriere@thi.de
+49 841 9348-5064
We look forward to you!
- Bisher keine Ordner/Dateien vorhanden.
-
Keine Inhalte
Stellenangebote des Autors
Research Associates (m/f/d) in Electromobility and Learning Systems
Kontakt: | Dominik Schneider | ||
Ort: | 85049 Ingolstadt, Donau | ||
Web: | https://jobs.b-ite.com/jobposting/e20b8297d2c24c55d436e5048638cbe3a4fd65c60 | Bewerbungsfrist: | 09.08.23 |
Electromobility? Learning systems? The Electromobility and Learning Systems (ELS) research group is part of the Institute for Innovative Mobility (IIMo) and researches application-driven methods for the development, production and operation of electric vehicles. Shape the mobility of the future with us!
https://www.thi.de/forschung/institut-fuer-innovative-mobilitaet-iimo/els/
Your tasks
Possible doctoral projects are (but not limited to):
Research and design of innovative high-efficiency inverter topologies such as Multilevel Inverters
Impedance spectroscopy for battery diagnosis
Data Analytics for fuel cell testing
Scientific investigations of software-based concepts for Intelligent Drive Systems
AI for anomaly detection in the production of electrical drive components
Your profile
Scientific university degree in electrical engineering, physics, mechanical engineering, computer science or a related field
Excellent command of German and English
Basic programming skills in Matlab/Simulink, C/C++ and/or Python
Ability to work independently and in a team
Problem solving ability and creativity
What we offer
excellent labratory equipment
innovative working environment
collaboration with industry partners
comprehensive support & guidance
future oriented learning opportunities
doctorate in engineering and information science
homeoffice & mobile working
flexible working hours
canteen & restaurant
parking on the campus
Short info
Contract: 40.10 h/week
Duration: 36 months (contract extension being sought)
Payment: according to TV-L EG 13
Location: Ingolstadt
Application until: 08.09.2023
Good to know: In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification. We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).
Contact
ANR 1156
please feel free to contact
Dominik Schneider
karriere@thi.de
+49 841 9348-5064
We look forward to you!
- Bisher keine Ordner/Dateien vorhanden.
-
Keine Inhalte
Stellenangebote des Autors
Künstliche Intelligenz als Autor
ChatGPT wird den Originalitätsdruck auf menschliche Urheber erhöhen – warum, erläutert Gastautorin Anne Lauber-Rönsberg.
Prof. Dr. Anne Lauber-Rönsberg lehrt Recht an der Technischen Universität Dresden und ist Mitglied der Arbeitsgruppe IT-Sicherheit, Privacy, Recht und Ethik der Plattform Lernende Systeme.
Quellen:DUZ-Magazin 6-2023 vom 23.06.2023, S. 48-49, www.duz.de
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DUZ_Magazin_06_2023_KuenstlicheIntelligenz_Lauber-Roensberg.pdf
283.77 KB | 28.06.23 ( )
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Dialektik versus Stochastik - Wissenschaft darf nicht im mathematischen Bermuda-Dreieck der KI verschwinden
Der Einsatz von Künstlicher Intelligenz (KI) wird derzeit in Gesellschaft, Politik und Wissenschaft intensiv und kontrovers diskutiert. Wofür ist KI hilfreich, wo entstehen Risiken? An welchem Punkt muss das menschliche Denken der Stochastik Grenzen ziehen?
Professor Dr. Rolf Schwartmann leitet die Forschungsstelle für Medienrecht an der TH Köln und ist Vorsitzender der Gesellschaft für Datenschutz und Datensicherheit (GDD) e.V.
Quellen:Erschienen in Forschung & Lehre 6-2023
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ful_6-2023_Dialektik_versus_Stochastik_Schwartmann.pdf
208.82 KB | 19.06.23 ( )
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