PhD Candidate for Software Architecture (f/m/d)
PhD Candidate for Software Architecture (f/m/d)
KIT - Karlsruhe Institute of Technology
Karlsruhe, Germany
Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for the society and the environment. It is our goal to make significant contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 9.800 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.
We are looking for the Institute of Information Security and Dependability (KASTEL) as soon as possible, limited to an initial period of three years with the option to extend for a total of up to 6 years, for an PhD Candidate for Software Architecture (f/m/d).
KIT is one of eleven Universities of Excellence in Germany. From fundamental research to applications, KIT excels in a broad range of disciplines, i.e., in natural sciences, engineering sciences, economics, and the humanities and social sciences. The KIT "Dependability of Software-intensive Systems" (DSiS) group at the Institute of Information Security and Dependability (KASTEL) is inspired by the fact that in many areas of our daily lives, software has become one the main drivers of innovation. Our research on dependability of software-intensive systems has the vision of software engineering principles and methods integrated into systems engineering to systematically model and analyze software-intensive systems.
ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. At ABB Corporate Research we explore novel technologies and innovative methods to enhance the core business strengths of ABB, a company with a long history in innovation and technology. The Software Architecture Research Group of ABB's Corporate Research Center Germany transfers recent academic insights and technology developments into prototypes of future products and systems.
- You conduct scientific research on modeling techniques for intelligent (e.g., AI-driven) design and analysis technologies for industrial cloud-native software architectures;
- You work on the challenge of utilizing architecture models for design-time evaluations, simulations, runtime optimizations, and maintenance tasks to improve the modelled systems;
- You devise novel approaches to reduce the configuration complexity of cloud-native infrastructure for container orchestration systems specifically for large-scale distributed control systems;
- You contribute with your scientific work to a “DevOps for Industrial Automation” approach that allows shorter update cycles in a robust manner;
- You participate in research projects at ABB Corporate Research, supported by ABB development units;
- You interview ABB software architects for requirements and design constraints and implement your novel concepts upon the latest modeling frameworks from KIT;
- You construct prototypes to validate your ideas and conduct empirical to tailor your concepts for a smooth technology transfer into software development units.
Job requirements:
- For this role, you have an MSc. or equivalent degree in computer science, software engineering, or a related field;
- Demonstrated academic experience and/or professional experience in software architecture and cloud-native technologies are a plus;
- We value cross-cultural communication skills, creativity, initiative, enthusiasm, and result-orientation to bring your innovations towards new products and digital offerings;
- You have hands-on experience in object-oriented software design and development (e.g., C, C++, C#, Java, Python);
- You have experience or you are willing to acquire knowledge in model-based or model-driven software development (e.g., UML, OCL, DSLs, EMF, model transformation frameworks, Digital Twins);
- Expertise in one of the following fields is a plus: knowledge in virtualization and container technologies (e.g., Docker, Kubernetes, WebAssembly, …), infrastructure-as-code (Ansible, Terraform, …) domain knowledge in process automation, experiences with lean/agile software development processes (e.g., Scrum, Kanban);
- Proficient English skills are mandatory.
Become a member of staff of the only German University of Excellence that conducts large-scale research on the national level. Work under excellent working conditions in an international environment and be active in research and academic education for our future. Benefit from specific training when starting your job and from a wide range of further qualification offers. Use our flexible working time models (flexitime, work from home), our sports and leisure offers, as well as our child and holiday care services. We also pay a share of EUR 25/month in the Job Ticket Baden-Württemberg. Enjoy a large variety of dishes, snacks, and beverages at our canteens.
The position will be hosted 50% of the time at KIT and 50% of the time at ABB.
We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job.
Recognized severely disabled persons will be preferred if they are equally qualified.
Please apply online until January 15, 2025 including CV, a motivational letter, Bachelor’s thesis, Master’s thesis, papers, certificates (all preferred in English language) using the vacancy number 1442/2024 to Ms Jana Kehrer, Karlsruhe Institute of Technology (KIT), Human Resources, Kaiserstr. 12, 76131 Karlsruhe, Germany. Please be aware that the selection process is handled together by KIT and ABB.
For further information, please contact (KIT Professor) Prof. Ralf Reussner, phone +49 721 608-44067, (ABB Team Lead) Dr. Marie Platenius-Mohr, phone +49 170 9370463, (ABB Research Fellow) Dr.-Ing. Heiko Koziolek, phone +49 160 909 33 454.
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You can find further information on the internet: www.kit.edu.
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