Five open positions at IOTAP

Update: thanks for your interest! Applications have now closed.

Two post-doc positions and three Ph.D. student positions in Interaction Design and Computer Science have been announced. The positions are part of the Internet of Things and People research profile, a seven-year project which is a collaboration between Malmö University and the following industrial partners: Axis Communications, CyberCom, Data Ductus, E.On, Sigma Connectivity, Sigma Technology, Sony Mobile, TerraNet, Verisure, Wireless Maingate and ÅF Technology.

Last date for applications is February 1, 2015.

POST-DOC POSITIONS (2-year)

Interaction Design – The research is oriented towards the design of tangible interaction and the design of products and services based on Internet of Things infrastructures. The general research methodology falls within design research, i.e., academic knowledge production including design practice. View an archived version of this announcement.

Computer Science (Embedded intelligence) – This position concerns mainly research on intelligent connected devices forming a system of different types of sensors, actuators and information processing units. Application areas include surveillance systems and connected homes where also privacy and security aspects need to be considered. View an archived version of this announcement.

PHD STUDENT POSITIONS (4-5-year)

Interaction Design – The research is oriented towards the design of tangible interaction and the design of products and services based on Internet of Things infrastructures. The general research methodology falls within design research, i.e., academic knowledge production including design practice. View an archived version of this announcement.

Computer Science (Information security) – This position concerns mainly research on data security design in Internet of Things environments, such as connected homes where a lot of user-generated data is in flux. Some of the scientific challenges addressed are methods supporting the evaluation of risk exposure, security design principles to enable control of the risk exposure, and privacy-aware information management. Methods for user-generated data analysis and classification, as well as for reducing personality in data will also be considered. View an archived version of this announcement.

Computer Science (User-centred development) – This position concerns mainly research on methods for the collection and analysis of user feedback and data throughout the development process of Internet of Things products and services. The research will focus on how these can (1) be adapted to better address the complexity of the IoT context, (2) be efficiently combined to improve IoT product and service development, and (3) help us identify and predict emerging user behaviours and needs in an IoT context. View an archived version of this announcement.

Learn more about IOTAP.

This post is cross-published from mah.se.

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