Jobs & Training
We employ scientists in chemistry, engineering, physics, materials science, and mathematical modelling as well as staff in administrative and technical positions.
Vacancies and PhD Positions
Most of our current vacancies and PhD positions are posted on the KIT jobs page. For details on our PhD positions you may contact Patricia Jaeger or Christine Fischer. Vacancies not posted on the KIT website are included below.
Bachelors or Masters Thesis
Because we are an institute within the Karlsruhe Institute of Technology (KIT) and have close connections to other universities (including Darmstadt, Münster, Ulm, Gießen, Basel, and Strasbourg), we can supervise bachelor's or master's theses. To apply, please contact our research unit chairs and research groups.
The project concerns application of voltage-driven reversible electrochemistry (surface chemistry and ion-exchange) to control magnetism. The research involves nanomagnetism, material science and electrochemistry. Please apply via the linked EURAXESS website.
EURAXESS project descriptionWork on developing a new electrolyte suitable for cycling Li-ion batteries at high temperature.
Job details- Researcher (f/m/d) in Computer Science "Machine Learning for Materials Science and Chemistry" with the opportunity of pursuing a PhD
- Researcher (f/m/d) in Computer Science with the opportunity of pursuing a PhD
- Researcher (f/m/d) in Computer Science with the opportunity of pursuing a PhD
- Staatlich geprüfte Technikerin / staatlich geprüfter Techniker (w/m/d) für Heizungs-, Sanitär-, Lüftungs- und Klimatechnik
Researcher (f/m/d) in Computer Science "Machine Learning for Materials Science and Chemistry"
with the opportunity of pursuing a PhD
Category
Job description
As a successful candidate, you will work on the development of machine learning methods in the AI for Materials Science (AiMat) group of Prof. Dr. Pascal Friederich.
Your responsibilities will include:
- Development of machine learning methods in collaboration with partners of the DFG Excellence Cluster “3D Matter Made to Order,” with a focus on ML potentials for complex atomistic simulations of laser 3D printing processes
- Research in the areas of accelerated atomistic simulations, universal ML potentials, and model distillation
- Collaboration with experimental partners in the 3DMM2O project to apply and validate the developed ML potentials
- Preparation of scientific manuscripts and presentation of research results at workshops and conferences
In addition to scientific work, there is the opportunity of pursuing a PhD.
Personal qualification
- A Master’s degree in Computer Science or a Natural Science from an internationally recognized academic institution
- Theoretical and practical experience in the fields of machine learning and deep learning Experience in applying machine learning methods in an interdisciplinary context is an advantage
- Experience in the field of machine-learned potentials and/or molecular dynamics simulations and/or density functional theory is an advantage
- Experience in developing and training large models or performing simulations on high-performance computing systems is desirable
- Ideally, practical research experience as well as experience with publications in relevant scientific fields
- Experience in programming with Python, especially with libraries such as PyTorch
- Fluent English skills
- Strong communication and presentation skills
More details Apply
Researcher (f/m/d) in Computer Science
with the opportunity of pursuing a PhD
Category
Job description
As a successful candidate, you will work on the development of machine learning methods in the AI for Materials Science (AiMat) group of Prof. Dr. Pascal Friederich.
Your responsibilities will include:
- Development of modern machine learning methods
- Active contribution to the German-American research project “NeuroTronics”, with a particular focus on the design of doped semiconducting polymers using machine learning methods and self-driving laboratories
- Research in the field of autonomous decision-making methods based on Bayesian optimization techniques
- Collaboration with partners in the United States regarding their integration into automated synthesis and characterization workflows
In addition to scientific work, there is the opportunity of pursuing a PhD.
Personal qualification
You have the following:
- Master’s degree in Computer Science or a Natural Science from an internationally recognized academic institution
- Theoretical and practical experience in the fields of machine learning and deep learning
- Experience in applying machine learning methods in an interdisciplinary context is an advantage · Experience in the area of Bayesian optimization and/or self-driving labs is welcome
- Experience with quantum chemistry simulations of molecular or polymeric systems is welcome
- Experience with the development and training of large models or running simulations on high-performance computing systems is welcome
- Practical research experience and publications in relevant scientific areas are beneficial for the project.
- Experience in programming with Python, particularly with libraries such as PyTorch
- Fluent English language skills
- Strong communication and presentation skills
More details Apply
Researcher (f/m/d) in Computer Science
with the opportunity of pursuing a PhD
Category
Job description
As a successful candidate, you will work on the development of machine learning methods in the AI for Materials Science (AiMat) group of Prof. Dr. Pascal Friederich.
Your responsibilities will include:
- Developing modern machine learning methods that open up new avenues for analysing and designing molecular systems
- Actively shaping collaboration in the DFG Priority Programme ‘Molecular Machine Learning’, in particular with the experimental partners of the project ‘Design of photocatalytic systems for CO₂ reduction through synergistic collaboration between machine learning and automated laboratories’ at KIT
- Researching and further developing self-explanatory graphical neural networks for molecules and integrating them into automated synthesis and characterisation workflows in order to efficiently advance data-driven research
- Cooperating with the automated synthesis laboratories at the Institute of Organic Chemistry In addition to scientific work, there is the opportunity of pursuing a PhD.
Personal qualification
- A Master’s degree in Computer Science or a Natural Science from an internationally recognized academic institution.
- Theoretical and practical experience in the fields of machine learning and deep learning
- Experience in applying machine learning methods in an interdisciplinary context is an advantage
- Experience in the field of explainable AI and/or graphical neural networks and/or self-driving laboratories is an advantage
- Experience in the development and training of large models or the execution of simulations on high-performance computing systems is desirable
- Ideally, practical research experience and experience with publications in relevant scientific fields
- Fluent English skills
- Strong communication and presentation skills
More details Apply
Staatlich geprüfte Technikerin / staatlich geprüfter Techniker (w/m/d)
für Heizungs-, Sanitär-, Lüftungs- und Klimatechnik
Category
Job description
Sie übernehmen die technische Planung, Betreuung, Optimierung und Überwachung moderner Heizungs-, Sanitär-, Lüftungs- und Klimaanlagen sowie deren Integration in Gebäude- und Infrastruktursysteme in den Gebäuden 640, 717, 9943 und den dazugehörigen Nebengebäuden. Dabei sind Sie verantwortlich für Wartung, Instandhaltung und Störungsmanagement komplexer Anlagen, die technische Begleitung externer Dienstleister sowie die Erstellung technischer Dokumentationen. Regelmäßige Objektbegehungen im Innen- und Außenbereich gehören ebenso zu Ihrem Aufgabenfeld. Mit Ihrem Einsatz stellen Sie sicher, dass unsere technischen Gebäude- und Infrastruktursysteme effizient, nachhaltig und zuverlässig betrieben werden. So gewährleisten Sie die optimale Funktion unserer Heizungs-, Sanitär-, Lüftungs- und Klimatechnik sowie der Prozessanlagen – und schaffen damit die Grundlage für einen sicheren, wirtschaftlichen und umweltgerechten Betrieb.
Ihre Aufgaben im Einzelnen:
- Konzeption, Planung und Auslegung von HLK-Anlagen sowie deren Integration in moderne Gebäude- und Infrastruktursysteme; Auswahl energieeffizienter und normgerechter Komponenten
- Technische Planung, Betreuung, Überwachung und Optimierung von haustechnischen und verfahrenstechnischen Anlagen, insbesondere Klima-, Sanitär-, Heizungs- und Druckluftanlagen sowie Vakuum- und Kühlwassersystemen
- Betrieb und kontinuierliche Verbesserung bestehender HLK- und Prozessanlagen inklusive Steuerungs-, Mess- und Regeltechnik, Durchführung von Funktionsprüfungen, Auswertung von Betriebsdaten und Entwicklung von Maßnahmen zur Effizienzsteigerung
- Organisation und Überwachung von Wartungs- und Reparaturarbeiten; Analyse und Behebung von Störungen, Sicherstellung der Betriebssicherheit und Einhaltung aller gesetzlichen Vorschriften
Personal qualification
Sie verfügen über:
- Staatlich geprüfte Technikerin / geprüfter Techniker in der Fachrichtung Heizungs-, Sanitär-, Lüftungs- und Klimatechnik oder gleichwertige Qualifikation
- fundierte Kenntnisse in der Inbetriebnahme und im Betrieb von HLK- und Prozessanlagen
- gute Kenntnisse in der Mess- und Regeltechnik
- vertiefte Kenntnisse relevanter Vorschriften und Gesetze, z. B.:
- Wasserhaushaltsgesetz (WHG)
- Arbeitsschutzgesetz (ArbSchG)
- Laserschutzgesetz
- Unfallverhütungsvorschriften (UVV)
- sicherer Umgang mit einschlägigen Normen (DIN, VDI, EnEV)
- sicherer Umgang mit MS Office, idealerweise auch CAD-Kenntnisse
- sehr gute Deutschkenntnisse in Wort und Schrift sowie gute Englischkenntnisse
- idealerweise Erfahrung im Bereich Arbeitsschutz und Unfallverhütung
More details Apply