Luleå University of Technology experiences rapid growth with world-leading
expertise within several research domains. We shape the future through
innovative education and groundbreaking research results and drawing on our
location in the Arctic region, we create global societal benefit. Our
scientific and artistic research and education are carried out in close
collaboration with international, national and regional companies, public
actors and leading universities. Luleå University of Technology has an annual
turnover of SEK 1.9 billion. Today, we have 1,815 staff and 19,155 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. EISLAB is involved in
several large European projects on distributed system construction with a
focus on IoT, systems of systems (SoS), and CPS. Recent examples include
Arrowhead Tools (more than 80 partners, EUR 91 million) and DigiPrime (more
than 35 participants).
Our research is conducted in close collaboration with industries such as
Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB, SKF, and leading
international universities. A major result is the Eclipse Arrowhead, an open-
source software framework for industrial automation widely supported by
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.
You will work with some of the following areas of CPS systems:
- System engineering and the development of new model-based declarative
- Digital twins as proxies and service interfaces to IoT devices and CPS,
including traditional and hybrid AI systems.
- Industrial SoS security.
- Access and usage control for secure data sharing in industrial eco-systems.
- Programmability of neuromorphic systems.
- Virtualization at the cloud-to-edge continuum for flexible and adaptable
- Decentralized systems in general, including block-chain technologies.
The studies will be conducted as parts of national or European projects with
industrial partners. These 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
researchers and doctoral students at Luleå University of Technology.
As a PhD student, you work towards a Doctoral degree as the final goal.
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 the PhD program at Luleå
University of Technology, specially designed courses, etc. Your research and
coursework will be planned and recorded in your individual study plan
throughout your progress. In addition, teaching and other duties at the
division or department exist for graduate students, which are limited to 20 %
of the maximum five-year period.
We are looking for you who are analytical and motivated who, both alone 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 2022.
You must be proficient in Computer Science. Previous experience of working
with SOA, IoT, CPS and/or SoS is valuable but not a requirement. You 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.
For further information about a specific subject see; General curricula for
the Board of the faculty of science and technology
Employment as a PhD student is limited to 4 years, with extension of
maximum one year for teaching and other department duties. Placement: Luleå.
Starting: Autumn 2022 or Spring 2023.
For further information about the position, please contact Associate Senior
Lecturer Cristina Paniagua, +46 (0)920-49 3858,email@example.com
Union representatives:SACO-S Kjell Johansson (+46)920-49 1529
firstname.lastname@example.org, OFR-S Lars Frisk, (+46)920-49 1792 email@example.com
In case of different interpretations of the English and Swedish versions of
this announcement, the Swedish version takes precedence.
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.
Reference number: 3513-2022 Last day of application : November 20, 2022