PhD position in the SCOTT project (V32.2854)
PhD position in the SCOTT project
The Internet of Things (IoT) is enabling the digital transformation trend Europe currently is facing. Creating trust in wireless solutions (social acceptance e.g. in applications like personal healthcare) is a major challenge ahead. Physical infrastructure of the IoT (sensors, actuators etc) is generally well developed and established. However, wireless solutions – despite their many benefits - are still considered untrustworthy. Computational trust refers to the quantification of trust and the application of it to the digital world.
The candidate will contribute to the identification of the requirements for deriving trust concerns to be monitored as well as the parameters for a computational trust framework that satisfy these requirements. These parameters determine the way trust is established or lost in the context of personal healthcare considering different stakeholders. For example, some questions that have to be answered are: who are the trustors and trustees, what is the level of initial trust, how is the effect of uncertainty (of observations) on trust, what are the rates of increase and decrease in trust based on positive and negative evidence extracted from observations, respectively? Based on this study and the defined formal representation of trust, the candidate will work towards methods to adjust trust based on observations and introduce an operational flow for decision taking. This work will lead to robust protocols for control delegation based on trustworthiness evaluation of involved parties (stakeholders) and for situation recognition in the context of personal healthcare.
The research will be conducted within the System Architecture and Networking (SAN) group of the Computer Science department and the results will be deliverables for the European H2020 ECSEL project SCOTT (Secure Connected Trustable Things). The SAN group performs research in the area of resource management and machine learning for real-time and distributed systems of resource-constrained devices. This research addresses the architecture and design of these systems as well as algorithms. The SAN group has been very successful in executing its research in the context of national or international projects with industrial partners.
We are looking for candidates that meet the following requirements:
- MSc in Computer Science;
- Knowledge of system and software architecture and an interest in component based systems;
- Experience with subjective logic, computational trust, data mining or machine learning;
- Ability to combine different research techniques and apply them in a large context;
- Good communicative skills in English, both in speaking and in writing. Candidates should be prepared to prove their English language skills.
The PhD is expected to:
- Perform scientific research in the domain described;
- Collaborate with other researchers in this project;
- Publish results in leading scientific journals and conferences in the field;
- Assist in guiding (project-related) MSc graduation projects.
Conditions of employment
- full-time employment as a PhD-candidate for a period of 4 years;
- annually 8% holiday allowance and 8.3% end of year allowance;
- support with your personal development and career planning including courses, summer schools, conference visits etc.;
- a broad package of fringe benefits (including an excellent technical infrastructure, child care, moving expenses, savings schemes, coverage of costs of publishing the dissertation and excellent sports facilities).
Information and application
For more information about the project, please contact dr. T. Ozcelebi, e-mail: email@example.com
For information about employment conditions please contact P. Hertogs LLM, MSc (HR advisor), e-mail: firstname.lastname@example.org
The application should consist of the following parts:
- Cover letter explaining your motivation and qualifications for the position;
- Detailed Curriculum Vitae, including list of publications;
- Key publications (or links to download).
- Description of software developed (or links to GitHub) if any.
For a PhD position the application should also contain:
- A copy or a link to your Master thesis. If you have not completed it yet, please explain your current situation.
- A transcript of your grades.
Selected candidates with be invited first for a Skype interview and then for onsite visits to TU/e.
Please apply by using the 'Apply now' button on top of this page.
Applications submitted by e-mail will not be considered.