The University of Agder offers more than 150 study programmes and an active and leading research environment. We emphasize respect, openness and the ability to show commitment and pride concerning both your own and others’ results. Our 1200 staff and 12000 students enjoy daily life and scholarly activities at our modern and functional campuses in Kristiansand and Grimstad.
Post-doctoral Research Fellow in ICT
The University of Agder invites applications for a full-time, fixed-term appointment as a Postdoctoral Research Fellow in Technology/Information and Communication Technology for a period of 2 years. The position is currently located in Grimstad, Norway. The starting date is as soon as possible or to be negotiated with the Faculty.
The Department of ICT has three large and active research groups in Information and Communication Technology including eight Professors, 20 Associate Professors/ Assistant professors and about 20 Research Fellows on the PhD programme in ICT. The Department of ICT pursues a variety of research interests, focusing especially on ICT and crisis management, artificial intelligence, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes FP7 and H2020 as well as national and international industries.
This open position is associated with Centre for Artificial Intelligence Research (CAIR) and part of the project “Social Health Bots” funded by the Norwegian Research Council.
Findings from relevant international and national studies suggests that young people increasingly suffer from mental health issues such as social isolation, anxiety, eating disorders, sexual problems, depression, self-harm and suicidal thoughts. SOCIAL HEALTH BOTS address the increasing need for services that can help young people (16-26 years) with mental health issues.
The recent developments in artificial intelligence and deep learning, coupled with the broad popular uptake of online digital devices and the emergence of huge data sets (big data) make chatbots a promising supplement to more labour-intensive interventions within health and welfare services.
The research fellow will develop and test novel approaches for artificial intelligence driven social health chatbots. By working on an interdisciplinary and practice-oriented research project, the candidate will advance state-of-the-art in smart personalized automatic assistance.
Research topics for the postdoctoral fellow include, but are not limited to the following:
- Chatbots for mental health services
- Digital machine conversation, powered by huge data sets and deep learning
- Combining machine learning- and user driven design for smart chatbot services
The ideal candidate will have expertise in the following areas:
- Natural Language Processing
- Recurrent Neural Networks
- Convolutional Neural Networks
- Bayesian Learning and Probabilistic Reasoning
The successful applicant should hold a PhD in a related field (e.g. machine learning, artificial intelligence, data mining). To be considered for the position, the applicant must have submitted their PhD thesis by the closing date of the announcement.
Further provisions relating to the position as Post-doctoral Research Fellow can be found in the Regulations Concerning Terms and Conditions of Employment for the Post of Post-doctoral Research Fellow, Research Fellow, Research Assistant, and Resident
Furthermore, the applicant must have:
- Relevant academic credentials
- Written and spoken English proficiency
- Communication and teamwork skills.
Personal suitability, good teamwork skills, inventiveness, and a proactive approach, will be emphasized in the evaluation as well as relevant practical experience. The PhD Research Fellow will be expected to contribute to an active research community that promotes the personal and professional growth of the doctoral candidate. The position places great demands on the applicant’s capacity for independent goal-oriented work, ability to concentrate and attention to detail.
The positions are remunerated according to the State salary scale, salary plan 17.515, code 1352, NOK 489300-577 400 gross per year. A 2 % compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.
The Norwegian public service is committed to reflecting the diversity of society, and the personnel policy of the University of Agder aims to achieve a balanced workforce. All qualified persons are therefore encouraged to apply for the position, irrespective of cultural background, gender, age or disability.
Women are especially encouraged to apply.
Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions. The successful applicant will have rights and obligations in accordance with the current regulations for the public service.
Applicants must submit their application and CV online. Please click on the link “Apply for this job”. The following documentation should be uploaded as an attachment with the online application:
- CV with a complete list of scientific publications
- Doctoral thesis or link
- Up to 5 representative publications or links
- A description of the applicant’s research interests, the relevance of your expertise to the advertised position and a preliminary work plan
Original documents must be presented for verification to the University of Agder together with the copies by the appointed research fellow upon arrival at UiA. Successful candidates will be asked, normally during the interview, to ensure that the issuing university submits documents in a sealed envelope directly to UiA or provide access to their documents online, which allows UiA to verify the authenticity of these electronic documents via a secure website hosted at the issuing university (contact person at UiA will be provided later for certain candidates).
The applicant is fully responsible for submitting complete documentation within the deadline. Without complete documentation we cannot, unfortunately, include you in the assessment process.
All documentation of education must be in the original language and in English, and the translation should preferably be from the issuing university. Additional documentation must be in English.
Closing date: 30.04.17
For further information please contact Professor Ole-Christoffer Granmo, tel. +47 37 23 33 57, e-mail: firstname.lastname@example.org, Associate Professor Morten Goodwin, tel. +47 37 23 31 05, e-mail: email@example.com or Head of Department Folke Haugland, tel. +47 37 23 32 20, e-mail: firstname.lastname@example.org.
In accordance with §25(2) of the Freedom of Information Act, applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the name of applicants. The applicants will be advised of the University's intention to exercise this right.
- Søknadsfrist30. april 2017
- ArbeidsgiverUniversitetet i Agder
- Intern-IDRef. 24/17
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