Research Assistant / Master Thesis (Designing Affective Human-Machine Interaction)
Design for Autonomous Mobility
8 February 2019
Open until filled
Fixed Term (6 months from April 2019)
Technical University of Munich - Campus for Research Excellence and Technological Enterprise (TUMCREATE) is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence And Technological Enterprise (CREATE).
At TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.
More Information about TUMCREATE can be found by viewing our web pages at http://www.tum-create.edu.sg/
TUMCREATE is investigating new mobility concepts for Autonomous Vehicles (AVs) in Singapore. Beyond the technical challenges, the deployment of autonomous and connected vehicles raises questions related to society and human factors that the Design for Autonomous Mobility (DAM) team wants to analyse. We are therefore looking for a highly motivated Research Assistant to support the DAM team for this full-time position based in Singapore. Candidates may choose to receive supervision and complete a master’s thesis on the same topic.
About This Position
As part of the design of human-AV interfaces, insights are needed to understand the conditions which elicit specific emotions in people. The research involves investigating human-human vs. human-machine interaction and communication in the local context, through an understanding of the causes and operationalisation of affect (i.e. emotion) and the generation of scenarios for empirical studies. The case study focuses on the development of a Virtual Companion, an avatar which is proposed to replace the role of humans in AV operations in interacting with passengers.
At the end of their tenure, the candidate is expected to gain experience in developing a research topic, academic writing, project management and data collection and analysis in studies with human subjects.
Investigate the affective dimension of human-machine interaction and communication
Design and build scenarios for empirical studies with human subjects
Conduct experiments and analyse results of empirical studies
Assist in the preparation and writing of research reports
Maintain project documentation, materials and records
(Optional) Develop a research plan and objectives for a 6-month master’s thesis pertaining to the topic
Bachelor’s degree in Industrial Design, Interaction Design or related field required; other specialisations will be considered on a case-by-case basis
Proficiency in some of the following are strongly preferred: Photoshop, Illustrator, 3D modelling programmes (3ds Max, Maya, Rhino) and simple prototyping
Experience with user research and/or statistical methods an advantage
Knowledge of psychology, particularly with regards to affective science, an advantage
An interest in multi-disciplinary research combining the creative and social sciences
Organized, independent and reliable working attitude
Meticulous documentation skills
Excellent verbal and written fluency in English
Ability to work in a multicultural environment
What We Offer
A great experience in one of the most dynamic megacities in Asia
Remuneration at competitive rates
A close network with both the industrial and academic research community
An international and multidisciplinary working environment
How To Apply
Applications must be submitted together with a motivation letter (1 A4 page), an up-to-date CV, design portfolio, as well as relevant academic transcripts or certifications to Ms Penny Kong (email@example.com). Shortlisted candidates will undergo an interview via teleconference.
Ms Penny Kong Research Associate Design for Autonomous Mobility (DAM) Tel. +65 6601 4015 firstname.lastname@example.org