Doctoral student for Mobile Instrumentation and Wellbeing University of Oulu, Infotech and Faculty of Information Technology and Electrical Engineering

Doctoral student for Mobile Instrumentation and Wellbeing

 

Doctoral student for Mobile Instrumentation and Wellbeing, 4-year position 2018-2022 in Infotech and Faculty of Information Technology and Electrical Engineering, University of Oulu

 

The University of Oulu (http://www.oulu.fi/english/) is one of the largest universities in Finland, with approximately 16 000 students and 3 000 employees. The University of Oulu Graduate School (UniOGS) (http://www.oulu.fi/uniogs/) provides the framework and conditions for high-quality, research-driven doctoral education at the University of Oulu, and field-specific doctoral training is provided by its multidisciplinary doctoral programmes. Infotech (http://www.oulu.fi/infotech/) offers a high-level international multidisciplinary environment supplied with cutting-edge infrastructures.  Under this framework, the Information Technology and Electrical Engineering Doctoral Programme (ITEE-DP) (http://www.oulu.fi/uniogs/dp/iteedp) offers doctoral training in Electrical Engineering, Communications Engineering, Computer Science and Engineering and Information Processing Science.  

 

Applications are invited for a full-time doctoral student position for a maximum of four years, starting at the earliest on 01.01.2019 in an Infotech research project headed by Adjunct Professor Denzil Ferreira in the Center for Ubiquitous Computing research unit, Faculty of Information Technology and Electrical Engineering. A trial period of 6 months is applied in the position.

 

Our work aims to explore technology-driven human behavior sensing and modeling, where we juxtapose methods from large-scale data analysis, sensor instrumentation, applied machine learning, mobile and ubiquitous computing to understand and study a variety of human behavioral and social phenomena in naturalistic settings.

 

The position is supervised by Adj. Prof. Denzil Ferreira, Prof. Hadid and Prof. Zhao and is focused on modeling anomalous human behavior via ubiquitous instrumentation sensing. The goal is to explore the contextual vectors that may lead to depressive behavior. We’re working with UCLA Depression Grand Challenge and the European Alliance Against Depression with the largest scale of depression patients (100,000+) and linking with 2 Infotech top projects: Prof. Zhao’s micro-expressions and Prof. Hadid’s vision-based physiological health assessment methods. Traditionally, emotional and affective data is qualitative or subjective (e.g., questionnaires, diaries). Micro-expressions could provide invaluable and timely objective data on current emotional state. Physiological health measurements augment emotional states with wellbeing and affective states. Both are correlated (e.g., we may be sick and therefore more tired or stressed), thus fully bridging with these Infotech top projects.

 

Requirements for a doctoral student

 

To successfully occupy the position of a doctoral student, the candidate must possess a Master’s degree or an equivalent degree (e.g. licentiate) preferably in Computer Science, Human-Computer Interaction or Mobile Computing. Experience in machine-learning, computer vision, and Android development are encouraged. Degree must have been completed with good grades by 31.10.2018 (or latest before the job contract starts). Ability to pursue independent research and excellent writing and fluency in English is expected. The doctoral student position is intended for an Early Stage Researcher (ESR) who, according to the ”European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers”, is defined as a researcher in the first four years (full-time equivalent) of his/her research activity, including the period of research training. Applicants will be either starting their doctoral training, or will have completed no more than two full years of training (adjusted for possible previous part-time status) at the time the position is filled. The selected candidate will carry out his/her doctoral studies in the Information Technology and Electrical Engineering Doctoral Programme of the University of Oulu Graduate School (UniOGS) and must meet the minimal requirements to receive doctoral study rights as defined in http://www.oulu.fi/uniogs/requirements_for_admission. 

 

Salary

 

The salary of the selected doctoral student will be set on levels 2 – 4 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a supplementary remuneration will be given for personal achievement and performance (max. 46.3%). The total salary for these levels (before tax) currently ranges from about 1985 to 3621 Euros/month for full-time employment.

 

Application

 

Applications must be submitted using the electronic application form by 30th November, 2018, 23:59 (Finnish local time), with the following attachments as three separate pdf files:

 

  • Complete CV containing contact information of at least two referees (Max. size limit of the attachment: 5 Mbytes)
  • Motivation letter (maximum 1 page) describing prior knowledge and research interests and career plans (1-2 pages; max. size limit of the attachment: 2 Mbytes).
  • Certificates/Diplomas: Scanned electronic copies of diplomas and transcripts of the records of relevant previous degrees. If the original documents are not in English, Finnish or Swedish, each document must be accompanied by an official certified translation into English or Finnish. (Max. size limit of the attachment: 2 Mbytes)

 

Other relevant information

 

The eligible applicants fitting best in the research profile expected for the position may be invited to an on-site or remote interview. All applicants will be notified when the selection process is completed.

 

Contact

 

-        Adjunct Prof. Denzil Ferreira, e-mail: denzil.ferreira (at) oulu.fi

 

-        Concerning the general requirements and application procedures: Coordinator Mirjami Jutila, e-mail: mirjami.jutila (at) oulu.fi


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