PhD Student in Cyber-Physical Systems, CPS.

Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of SEK 1.9 billion per year. We currently have 1,840 employees and 17,670 students.

In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems.

Subject description
Cyber-Physical Systems focuses on integrated software and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions.

Project description
For this work, you will be working as part of a team of researchers in a European project.

As a main topic, you will perform your research in one of these areas:


• Data model translation, to enable the automatization of the engineering process.


• Machine learning based code generation for autonomous translation of payload data semantics.
• Dictionary learning and algorithms for translation between major data modeling languages.
• Model-based System Engineering (UML, SysML, metamodels) usage to model the major data modeling languages.


• Cyber-security and architecture design.

• Industrial SoS security, including security risk analysis.
• Testing for security and security countermeasures analysis and implementation
• Access and usage control for secure data sharing in industrial eco-systems.
• Virtualization at the cloud-to-edge continuum for flexible and adaptable distributed systems.


• Edge technology to enable zero/minimal administration cost.

• Microservice-based platforms enabling AI integration at edge level. Including AI functionality as services for rapid integration, testing, and V&V.
• Smart contracts. The smart contract will serve as a hub for data sharing and transparency, it will initiate financial transactions and activities as well as support audits.



The projects aim to further digitalize the European industry, where EISLAB will be responsible for the CPS intelligence, IoT, and SoS automation architecture as well as the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. 

Projects typically involve working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key factor to the success of these projects. In this, you will work closely with other LTU researchers and doctoral students.

Duties
Most of your time will be devoted to working on research projects in which you will develop proofs-of-concept to experimentally evaluate and explore aspects of industrial software systems and components. You will communicate your results at international conferences and in scientific journals.

To support your dissertation work, you will take courses in the form of third-cycle studies introduction, generic courses for LTU PhD program, specially designed courses, etc. Your research and coursework will be planned and recorded in your individual study plan throughout your progress.

Qualifications
We are looking for You - a talented, analytical and motivated colleague who, both individual and in collaboration with others, can carry out advanced research in our research group. The necessary background for applicants is a master’s degree in preferably Computer Science. Also, Electrical Engineering, Engineering Physics, or equivalent will be considered. We also welcome applicants with expected graduation in such degree during 2023 or beginning of 2024.

The applicant must be proficient in Computer Science. The applicant must also possess good programming skills, including software design, basic programming concepts as well as experience in Java programming or similar. Fluency in oral and written communication in English is a requirement. Previous experience of working with SOA, IoT, SysML, ML, CPS and/or SoS is valuable but not a requirement.

For further information about a specific subject see;
General curricula for the Board of the faculty of science and technology

Further information
Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: February 2024.

For further information about the position contact:
Cristina Paniagua, Senior Lecturer, (+46)920-493858 cristina.paniagua@ltu.se

Union representatives:
SACO-S Kjell Johansson (+46)920-49 1529 kjell.johansson@ltu.se  
OFR-S Lars Frisk, (+46)920-49 1792 lars.frisk@ltu.se

In case of different interpretations of the English and Swedish versions of this announcement, the English version takes precedence.

Application
We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.

Last day of application: 31 January 2024
Reference number: 4894-2023