The faculty of Industrial Design Engineering is the largest and broadest scientific design institute in the world, with over 2,000 students, more than 6,000 alumni and 350 staff (researchers and lecturers, including designers from industrial practice). The faculty aims to contribute to a better living and working environment and respond to social challenges by combining human values and desires with technological feasibility and economic viability. The faculty is excellently placed to do so, as it ground design methods and skills in scientific knowledge from a wide range of disciplines, leading to concrete solutions.
Click here to go to the website of the Faculty of Industrial Design Engineering.
Sustainable Design Engineering (SDE), the hosting department of the position, focuses on applying responsive technologies on the development and design of new products and services. The dynamics in this field are primarily determined by the pace of change in society, in which new developments in human needs and technological possibilities follow each other rapidly. These include new materials and production techniques, ICT and Internet of Things, healthcare, manufacturing, sustainability and striving towards a circular economy.Functie omschrijving
We are looking for a PhD candidate for the project COALA- COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence, funded by the European Union's Horizon 2020 research and innovation program. The project involves 14 partners from 5 European countries and will kick off on October 1st, 2020.
Within this project, our team aims to develop a cognitive advisor with dedicated human-assisted AI methods for enabling transfer of tacit knowledge of experts to novice workers. The cognitive advisor need to be able to operate with small data sets of machine configurations, product quality, production lines performance, human errors, and changeover time collected from production lines and production processes while operated by experts. It needs to implement a recommendation and configuration management system that guides novice workers by composing dialog content for production line operations based on the explored basic rules. It will provide feedback to the novice workers as a synthesis of instructional and corrective messages considering the context of on the job training as well as the pace of learning. It is therefore important to involve experts in validating recommendations and to algorithms that can deal with this.Functie eisen
The successful candidate is in possession of a M.Sc. degree in computer science, human computer interaction, or systems engineering with strong affinity to human factors. He or she should have a good understanding of (and be fascinated by) machine learning techniques, computer vision, recommender systems, development of voice assistant, and/or human modelling. The candidate is expected to publish her/his research in scientific journals and conferences. The candidate should be capable of performing independent research and working in a team on research projects. He/she should have an open personality and good communication skills to closely cooperate with colleagues, and students. Regular contact with a Dutch industrial partner is necessary in this project, fluency in Dutch language is an expectation.Arbeidsvoorwaarden
TU Delft offers an attractive benefits package, including a flexible work week and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.phd.tudelft.nl for more information.Informeren en solliciteren
For information about this vacancy, you can contact Zoltan Rusak, Assistant Professor, email: email@example.com, tel: 015 27 89779.
To apply, please email a letter of motivation, a detailed CV, an abstract of your Master thesis (1 page), names of referees and MSc transcripts/Diploma (in English) in a single pdf file before the 1st of September to Zoltan Rusak, email: firstname.lastname@example.org.
When applying for this position, please refer to the vacancy number TUD00376.
Please note that applications will be periodically reviewed also before the application deadline until a suitable candidate is found, therefore the position might be closed earlier.
A pre-employment screening can be part of the application procedure.
Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.