• Master’s degree and PhD in physics or a similar discipline
• In-depth experience with quantum control experiments on quantum dot qubits
• Good software development skills
• Experience with sub-Kelvin cryogenic techniques
• Strong aptitude for mentoring students
• Good communication skills
• A strong drive to conduct ambitious, cutting edge research towards scalable quantum computing
• A research track record commensurate with our ambition

• Master or PhD in physics or related with a background in the field of experimental quantum information
• Deep knowledge of solid state physics and/or quantum information
• Experience with microfabrication and/or operating and calibrating quantum systems
• Experience with hardware interfacing programming in Python
• Team-oriented and highly motivated to work in an experimental laboratory
• A background in quantum computing as well as experience with cryogenics, signal delivery, materials optimization, and microwave control are highly preferred qualifications

• Master Degree and PhD in plant sciences, plant biology, plant physiology, agriculture or other related disciplines
• Solid background in whole plant eco-physiology, plant growth and / or plant architecture
• Solid knowledge of methods to measure plant structure in the greenhouse and field
• Knowledge in using and interpreting 3D data from the PlantEye instrument is highly welcome
• Interest in working at the interface between applied and basic research
• Proven record of publications in a related field and the ability to summarize scientific results in project reports and journals
• Very good English communication and writing skills.

• Master`s degree in physics, chemistry, material science, chemical engineering, computer Science, or related disciplines with PhD
• Extensive knowledge of machine learning/artificial intelligence and big data science
• Extensive knowledge of programming languages (ideally Python)
• Basic knowledge of synchrotron research
• Fluent in written and spoken English
• Very independent and self-motivated way of working but also excellent teamwork skills
• High motivation to take on responsibility and develop own research ideas

• University degree (Master) and doctorate in bioinformatics, computer science, data science or life science related fields with proven track record in data analysis/bioinformatics
• Knowledge in programming languages (e.g. Java, Rust, C/C++) and statistical analysis using R/BioConductor/python
• Experience with the analysis and integration (data fusion) of high throughput data such as NGS, metabolite profiling and/or plant phenotyping data
• Knowledge in the application of AI for data analysis and interpretation is advantageous
• Experience with plant omics data is a plus
• Experience with acquisition and administration of third-party funds is considered a plus
• Proven scientific communication skills in the form of scientific publications or equivalent
• Willingness to complement and collaborate with existing research units at the research center
• Excellent English language skills, both written and spoken are a requirement due to the international nature of the institute and collaborations

• University degree (Master) and doctorate in bioinformatics, computer science, data science, biophysics, or life science-related fields with a proven track record in bioinformatics, biophysics, data analysis, and simulation sciences
• Very good practical experience in molecular biology, Next Generation Sequencing, and structural biology
• Extensive experience in analyzing large datasets (especially genomics, transcriptomics, metagenomics, enzyme data, and structural data)
• Experience with the application of machine learning methods for data analysis and interpretation
• Knowledge in programming languages (e.g. Java, Rust, C/C++, Python) and statistical analysis using R/BioConductor/python
• Proven scientific communication skills in the form of scientific publications or equivalent
• Willingness to complement and collaborate with existing research units at the research center
• Excellent English language skills, both written and spoken are a requirement due to the international nature of the institute and collaborations

We are looking for highly motivated colleagues who are enthusiastic about creating better science through pragmatic solutions. For this you will bring:

• University degree (Master, Diploma or equivalent) in Material Science or other adjacent fields (e.g. Physics, Chemistry, Computational Engineering, Computer Science)
• A doctorate is desirable, but not mandatory
• Strong computational background, including scientific programming skills (e.g. in Python)
• Expertise in one or more of the following fields is advantageous: crystallographic defects, materials characterization techniques, continuum modeling, materials informatics
• Willingness to learn new concepts and tools in the field of semantic technologies and ontology development (e.g. Protégé, OWL, SKOS, RDF, SPARQL)
• Excellent communication skills in English (written & oral)
• Ability to think analytically and conceptually as well as enjoying to work in an international and interdisciplinary team where development processes are driven cooperatively
• Willingness to support scientists in research data and metadata management

• Excellent masters degree and subsequent Ph.D. degree in Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience
• Very good knowledge and proven skills with larger deep learning networks and unsupervised training (your experience should be documented in research papers and Open Source code projects)
• Proficiency in software development including the use of version control systems
• Practical experience with High Performance Computing Systems or large-scale cluster computers and parallel programming
• Interest in scientific topics, especially related to weather and climate
• Self-motivated personality, curiosity of working in a multi-disciplinary team environment on scientifically challenging problems
• Very good command of written and spoken English

• Master degree and doctoral degree (PhD) in electrical engineering, physics, or similar fields
• Experience in the development of neuromorphic hardware implementations and a good overview of the field
• Knowledge of integrated CMOS circuit design is beneficial
• Ability to monitor and guide the developments of others relevant to your topic
• Experience with scientific publications and presentations
• Good English skills

• Masters and PhD in Mechanical Engineering, Chemical Engineering, Computer Science, or a closely related field with a focus on renewable energy systems, data analytics, or artificial intelligence.
• Demonstrated experience in programming, particularly in Python, Django, or similar frameworks, with a robust understanding of data extraction and machine learning models.
• Advanced programming skills and substantial experience in software development related to digital services.
• Exceptional collaborative and communication skills, fluent in English, and capable of effective teamwork in a multidisciplinary setting.
• Additional knowledge or interest in cloud computing solutions (private/on-premise/public) and Internet of Things (IoT) technologies will be considered an asset.

• Successfully completed scientific master’s degree and PhD in electrical engineering, physics, materials science or comparable field of study
• Experience in material processing and analytics
• Experience in working with vacuum systems desirable
• Very experienced in writing scientific publications
• Ability to work independently
• Enjoy developing new processes
• Ability to work in a team
• Good knowledge of English

For this, we are looking for a candidate with profound knowledge in materials chemistry and electrochemical characterization methods:

• Successfully completed Master`s degree with subsequent doctorate in chemistry, materials science or chemical engineering
• Previous experience with electrochemical impedance spectroscopy and experience in solid state synthesis is required.
• Familiarity with various standard measurement techniques (XRD, XPS, Raman, SEM) is an advantage.
• Knowledge of scalable synthesis and processing techniques for solid-state battery materials is an advantage.
• Excellent communication skills in written and spoken English are required. German language skills are an advantage but not required.
• Enjoying collaborating with internal and external project partners.
• Structured and independent way of working.