Tag-arkiv: UiA

Post-doctoral Research Fellow in Sociology of Religion

The University of Agder has more than 1400 employees and 13 000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.

We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.

Post-doctoral Research Fellow in Sociology of Religion

The University of Agder, Faculty of Humanities and Education, invites applications for one full-time, fixed-term appointment for a period of two years as Postdoctoral Research Fellow in Sociology of Religion at the Department of Religion, Philosophy and History, Faculty of Humanities and Education. The position is located at Campus Kristiansand. The starting date is negotiable with the Faculty.

Description of the position

The position is associated with the research group Religious Minorities and Religious Diversity. The group’s activities focus on advanced research on majority and minority relations, and the proposed postdoctoral project should be framed within the scope of (one or more of) the core themes and empirical areas of interest of the group. See: https://www.uia.no/en/research/humaniora-og-pedagogikk/religious-minorities-and-religious-diversity for additional information on the research group’s thematic areas of research and ongoing projects.

Qualifications and terms

The successful applicant must hold a PhD degree in Sociology of Religion, Sociology, Religious Studies, Theology or equivalent fields. To be considered for the position, applicants must have an approved dissertation by the time of the deadline. Applicants will be assessed on the basis of academic background and results, and any previous research. The position places great demands on the successful applicant´s capacity to carry out cutting-edge research and independent goal-oriented work. Documented publications beyond the PhD degree and experience from externally-funded research projects (application work and implementation) will be emphasised, as well as personal suitability and good teamwork skills. Short-listed applicants may be invited for interviews.

Applicants must submit a project description and a progress plan for the proposed postdoc project including a publication plan for the postdoctoral period. An essential part of the assessment of the applicants is the quality of the project description.

The working languages are Norwegian or English. A high level of oral and written proficiency in English is required.

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.

The position is remunerated according to the State Salary Scale, salary plan 17.510, code 1352 Post-doctor, gross salary per year NOK 544 400 – 607 700. In the case of particularly highly qualified applicants, a higher salary may be considered. 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.

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 current regulations for the public service and the position.

Application

Applicants must submit their application form 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 and complete list of publications
  • Copy of selected scientific publications (no more than 10; including the Ph.D. thesis)
  • Project description

The applicant is fully responsible for submitting complete documentation in a sufficient number of copies before the closing date. The application and all documentation must be available in a Scandinavian language or English. Without complete documentation we cannot, unfortunately, include you in the assessment process.

Closing date: 17.03.19

For further information please contact professor Ida Marie Høeg, tel. +4738141322, e-post ida.m.hoeg@uia.no

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. Applicants will be advised of the University’s intention to exercise this right.

In case of discrepancies between the Norwegian and the English text, the Norwegian text takes precedence.

Apply for this job

Read the job description at the university homepage

About this job

  • DeadlineSunday, March 17, 2019
  • EmployerUniversity of Agder
  • Website
  • MunicipalityKristiansand
  • Jobbnorge ID163781
  • Internal IDRef. 13/19
  • ScopeFulltime
  • DurationTemporary

Post expires on Sunday March 17th, 2019

PhD Research Fellow in ICT

The University of Agder has more than 1400 employees and 13 000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.

We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.

PhD Research Fellow in ICT

The University of Agder (UiA) invites applications for a full-time fixed-term appointment as PhD candidate in Information and Communication Technology (specifically low-altitude UAV communications and tracking) for a period of three 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 PhD students will be supervised by researchers from the Intelligent Signal Processing and Wireless Networks (WISENET) Lab, Faculty of Engineering and Science, UiA. Information about why the WISENET Lab, the University of Agder, and Norway provide an excellent environment for PhD studies can be found here and also here.

Brief Information about the WISENET Lab

The herein announced position will be part of the Intelligent Signal Processing & Wireless Networks (WISENET) Lab. The Lab activities span across the Department of Information and Communication Technology and the Department of Engineering. WISENET Lab is in rapid expansion, having at present seven PhD students and three postdoctoral researchers working on cutting-edge research projects. WISENET Lab is committed to achieving international research excellence.

PhD Program and Supervision

The goal of the PhD program is to train students to become autonomous researchers. This means that;

  • Students need to complete a coursework component of 30 ECTS intended to provide the necessary background for conducting research. In WISENET, we teach courses on those areas that are most relevant for the research we conduct at the lab
  • Students need to become familiar with the research methodology in our areas. Thus, a close supervision model is generally pursued at the beginning, whereas more independence is gradually granted to the student as she/he becomes more mature. Ideally, the student must be able to conduct research independently after graduation
  • Students need to develop their communication skills, both oral and written. Strong communication skills constitute a prerequisite for working at most companies and institutions. The PhD program and the supervision at WISENET intensively promotes and assists in the development of these skills

Research Topics

A large number of unmanned aerial vehicles (UAVs) are expected to serve millions of people worldwide for construction, agriculture, surveillance, search-and-rescue, food delivery, and grocery shopping. Both the private and public sectors have been investing billions of dollars in the past few years, and it is expected that these investments will keep increasing exponentially in the future. But before the era of UAVs can commence, numerous technical challenges need to be addressed. The applicant’s research goals will focuses on wireless communications for UAVs as well as detection and tracking of possibly non-cooperative UAVs.

Specifically, the present PhD position focuses on wireless communications for UAVs and (possibly) localization and tracking of UAVs through mmWave sensors. The conducted research will touch upon all or some of the following areas: spectrum cartography, spectrum cognizant communications, data analytics for mmWave sensors, low-latency communications, as well as wireless prototyping and testbed design using software-defined radio and real UAVs. Theoretical research will be conducted together with hands-on experiments with real equipment. The main goal is two-fold: first, the conducted research must contribute to the development of UAV technology. Second, the PhD candidate must acquire the necessary training to obtain a research position in academia or in the emerging industry of UAVs. Spin-off initiatives will also be encouraged and supported by UiA.

Selection Criteria

To be selected, the applicant must have:

  • A solid academic background with a master’s degree in a related area (e.g. Electrical Engineering, Electronics Engineering, Communications Engineering, Control Engineering, Aeronautics Engineering, Industrial Engineering, Information and Communication Technology, Mathematics, Computer Science) completed by the position starting date
  • Background and/or experience in some of the following areas of interest:
  • Wireless communications
  • Signal processing
  • Statistical signal processing and/or statistics
  • Machine learning and/or artificial intelligence
  • Linear algebra, calculus, and optimization
  • UAV control and integration
  • Signal processing for mmWave sensor
  • Programming in MATLAB, Python, C/C++, and/or Java
  • Additional areas of interest include:
  • Localization and navigation
  • RF measurements
  • Implementation with software-defined radio
  • Cognitive radio, dynamic spectrum access, and spectrum sensing
  • PCB design for mmWave sensors
  • Circuit design using FPGAs (LabView, Verilog or VHDL)
  • Simulation of network protocols and implementation in real network scenarios
  • Curiosity for understanding, enthusiasm for discovery, and motivation for conducting relevant research. Creativity, and a proactive attitude. Strong analytical, problem-solving, communication, and team-working skills. Written and spoken English proficiency.

Additionally, prior participation in research projects related to the areas of this position will also be considered a plus, as well as the publication of scientific papers on international conferences or journals related to these topics.

Admission to the PhD Programme

The PhD Research Fellow will be admitted to the PhD Programme in Engineering and Science with ICT as specialization within three months of the starting date. More information about the programme and a complete list of admission requirements can be found here.

The following admission requirements apply to the PhD Program:

  • The average grade for courses included in the bachelor’s degree (or equivalent) must be C (or equivalent) or higher
  • The average grade for courses included in the master’s degree (or equivalent) must be B (or equivalent) or higher
  • The Master Thesis (or equivalent) must have a grade B (or equivalent) or higher when the candidate is admitted to the PhD program

The successful applicant must have written and spoken English proficiency. Applicants from some countries must document their English proficiency through one of the following tests or certificates:

  • TOEFL – Test of English as a Foreign Language with a minimum score of 600 on the Paper-based Test (PBT), or a minimum of 92 on the Internet based Test (iBT)
  • IELTS – International English Language Testing System, with a result of at least 6.5, with no section lower than 5.5. (only Academic IELTS test accepted)
  • CEFR (Common European Framework of Reference for Languages) certificate of at least Level B2.

Please check this website to see if an English test is required. Please note that the English test requirement applies to applicants from most countries according to the list mentioned above. No other English tests or certificates will be approved, and certifications/statements cannot replace an English test.

Further provisions relating to the position as PhD Research Fellow can be found in the Regulations Concerning Terms and Conditions of Employment for the Posts of Post-Doctoral Research Fellow, Research Fellow, Research Assistant and Resident.

Selection Procedure

Applicants will be evaluated based on their academic background, experience, and attitude. Preselected applicants will be invited for one or more skype interviews and may additionally be requested to complete written tests and/or programming assignments. UiA will also conduct a reference check on the selected candidate with her/his consent.

Remuneration

The position is remunerated according to the State salary scale, salary plan 17.515, code 1017, salary NOK 449 400 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 selected applicant will have rights and obligations in accordance with the current regulations for the public service.

Application

The application is submitted online by following the link “Apply for this job”. The following documentation should be attached in pdf format:

  • Justification (maximum 1 page) of the experience and background in the areas of interest listed in the section “Eligibility”. Example: “1. Experience in PCB design: I designed a PCB for [briefly describe purpose] in the bachelor’s course [course name]. 2. Experience in programming: I took two bachelor’s courses with names [course names] where we had to program in C, and one master’s course with name [name] where we learned Python. 3. Background in machine learning: I took a bachelor’s course with name [name] where we learned the basics of supervised and unsupervised learning, and a master’s course with name

[name]

which focuses on deep learning. And so on” Up-to-date curriculum vitae. It would be a plus to provide a diagram or brief description of the main activities carried out by the applicant in all periods after graduating in the high-school Official transcripts of all post-secondary academic degrees, up to and including both the bachelor’s and master’s degrees. When attaching a non-Norwegian academic transcript that does not include a description of the grading system (e.g. maximum grade and minimum passing grade) used by the issuing institution, a (preferably official) description should also be attached. The description may simply contain a link to an official website where the grading system is explained Applicants that are not originally from a country with English as the official language must submit their TOEFL, IELTS, or CEFR certificate (may alternatively be emailed after the closing date) Publication list or links to the applicant’s scientific publications (if any) A description of the candidate’s research interests, motivation, and preferred topic/topics

All documents must be in English. Otherwise, they must be accompanied by an official translation. Applications with missing documentation or applications after the deadline will be automatically disregarded. Original documents must be presented for verification to UiA upon arrival. Additional measures may be adopted by UiA to verify the authenticity of the documentation.

Closing date: 21.03.19

For further information please contact Associate Professor Linga Reddy Cenkeramaddi, tel. +47 37 23 34 36, e-mail linga.cenkeramaddi@uia.no, Associate Professor Daniel Romero, tel. +47 37 23 31 96, e-mail daniel.romero@uia.no or Head of Department Folke Haugland, tel. +47 37 23 32 20, e-mail folke.haugland@uia.no

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. Applicants will be advised of the University’s intention to exercise this right.

About this job

  • DeadlineThursday, March 21, 2019
  • EmployerUniversity of Agder
  • Website
  • MunicipalityGrimstad
  • Jobbnorge ID164087
  • Internal IDRef. 3/19
  • ScopeFulltime
  • DurationTemporary



Apply for this position


Read the job description at the university homepage

Post expires on Thursday March 21st, 2019

Post Doctoral Research Fellow in ICT – Machine Learning for Time Series Modelling

The University of Agder has more than 1400 employees and 13 000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.

We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.

Post Doctoral Research Fellow in ICT – Machine Learning for Time Series Modelling

The University of Agder invites applications for a full-time, fixed-term appointment as a Post Doctoral Research Fellow in Information and Communication Technology for a period of two 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 the Centre for Artificial Intelligence Research

The aim of the postdoctoral research fellowship is to advance the state-of-the-art in machine learning techniques for time series modelling, classification and prediction. The work can either focus on fundamental issues such as novel learning algorithms and knowledge representation, or on applications such as health care, energy, safety and security, fraud detection, astronomy, human-computer interaction, bioconservation and others depending on the successful candidate’s interests and experience.

 More about working at UiA.

Research topics

Research topics for the post doctoral research fellow include, but are not limited to the following:

  • Machine learning methods (e.g. LSTM) for time series modelling
  • Recurrent neural networks and reinforcement learning
  • Application of machine learning methods to real-world time series
  • Extraction of knowledge from trained neural networks

The ideal candidate will have expertise in the following areas:

  • Recurrent neural networks
  • Reinforcement learning
  • One or more application areas of time series, modelling, classification and prediction

Admission requirements

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, applicants must have an approved 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 emphasised in the evaluation as well as relevant practical experience. The Post-Doctoral Research Fellow will be expected to contribute to an active research community that promotes the personal and professional growth of the post-doctoral candidate. The position places great demands on the applicant’s capacity for independent goal-oriented work, ability to concentrate and attention to detail.

Remuneration

The position is remunerated according to the State salary scale 17.510, code 1352 Post Doctoral Research Fellow, salary NOK 544 400-658 300 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.

The 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.

Application

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 five representative publications or links
  • A description of the applicant’s research interests, the relevance of his/her 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: 31.03.19

For further information, please contact Professor Christian Omlin, tel. +47 37 23 32 06, e-mail christian.omlin@uia.no or Head of Department Folke Haugland, tel. +47 37 23 32 20, e-mail folke.haugland@uia.no.

In accordance with §25(2) of the Freedom of Information Act, applicants may request that they are not identified on the open list of applicants. The University, however, reserves the right to publish the name of applicants. Applicants will be notified in case the University intends to exercise this right.

Apply for this job

Read the job description at the university homepage

About this job

  • DeadlineSunday, March 31, 2019
  • EmployerUniversity of Agder
  • Website
  • MunicipalityGrimstad
  • Jobbnorge ID162221
  • Internal IDRef. 255/18
  • ScopeFulltime
  • DurationTemporary

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Post expires on Sunday April 28th, 2019

PhD Research Fellow in ICT – Machine Learning for Times Series Modelling

The University of Agder has more than 1400 employees and 13 000 students. This makes us one of the largest workplaces in Southern Norway. Our staff research, teach and disseminate knowledge from a variety of academic fields. Co-creation of knowledge is our common vision. We offer a broad range of study programmes in many fields. We are situated at two modern campuses in Kristiansand and Grimstad respectively.

We are an open and inclusive university marked by a culture of cooperation. The aim of the university is to further develop education and research at a high international level.

PhD Research Fellow in ICT – Machine Learning for Times Series Modelling

The University of Agder invites applications for a full-time fixed-term appointment as PhD candidate in Technology/Information and Communication Technology for a period of three years. The position is 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 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 in association with Centre for Artificial Intelligence Research at University of Agder. The candidate will develop novel methods for artificial intelligence (AI) for time series modelling.

More about workin at UiA.

Research Topics        

The position is planned to address issues related to artificial intelligence and time series modelling.

Potential research topics for the PhD thesis include, but are not limited to the following:

  • Application of time series modelling in ehealth, security, safety, energy, astronomy, human-computer interaction, bioconservation, etc.
  • Novel learning algorithms for time series modeling.
  • Knowledge representation in neural networks.

The ideal candidate will have expertise in the following areas:

  • Machine Learning
  • Artificial Neural Networks
  • Documented experience, including courses, in neural network and deep learning programming

Admission requirements

Applications from applicants who already hold a PhD will normally not be considered. The candidate must hold a master’s degree in ICT, Computer Science or a similar/related field and document competence in areas relevant to the position.

Furthermore, the applicant must have:

  • Strong 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.

In return, we offer the opportunity to contribute to the strategic capabilities of a world-class research organization, along with intensive PhD supervision. You will collaborate with top scientists in your field and have excellent prospects for personal development in an innovative working environment for aspiring researchers. Applicants will be assessed on the basis of academic background and results, attainment, and any previous research and development work. The PhD Research Fellow must be admitted to the PhD Programme in Technology, with ICT as specialization, within three months of appointment.

The following admission requirements apply to the PhD programme:

  • The average grade for courses included in the bachelor’s degree (or equivalent) must be C (or equivalent) or higher
  • The average grade for courses included in the master’s degree (or equivalent) must be B (or equivalent) or higher
  • The master’s thesis (or equivalent) must have a grade B (or equivalent) or higher

The successful applicant must have written and spoken English proficiency. Applicants from some countries must document their English proficiency through one of the following tests or certificates:

  • TOEFL – Test of English as a Foreign Language with a minimum score of 600 on the Paper-based Test (PBT), or a minimum of 92 on the Internet based Test (iBT)
  • IELTS – International English Language Testing System, with a result of at least 6.5, with no section lower than 5.5. (only Academic IELTS test accepted)
  • CEFR (Common European Framework of Reference for Languages) certificate of at least Level B2

Please check this website to see if an English test is required. Please note that the English test requirement applies to applicants from most countries according to the list mentioned above. No other English tests or certificates will be approved, and certifications/statements cannot replace an English test.

Further provisions relating to the position as PhD Research Fellow can be found in the Regulations Concerning Terms and Conditions of Employment for the posts of Post-doctoral Research Fellow, Research Fellow, Research Assistant and Resident.

Short-listed applicants will be invited for interviews. With the applicant’s permission, UiA will also conduct a reference check before appointment.

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.

Remuneration

The position is remunerated according to the State salary scale, salary plan 17.515, code 1017, salary NOK 449 400 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.

Application

Submit your application and CV online. Please click on the link “Apply for this job”. The following documentation should be submitted as attachments to the online application:

  • Certificates and/or grades for all post-secondary education, up to and including the bachelor’s level
  • Master’s degree/higher degree certificate, with a summary of the courses/subjects included in the degree
  • Applicants with a foreign higher education must attach an official description of the grading system used at the issuing institution
  • Summary (approximately 1-2 pages) of the master’s thesis
  • Applicants who are required to document their English proficiency must submit their TOEFL or IELTS test results (these may be forwarded after the closing date)
  • Summary or links to the applicant’s scientific publications (if any)
  • A description of the candidate’s research interests and background for the project applied for

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: 31.03.19

For further information please contact Professor Christian W. Omlin tel. +47 37 23 32 06 email: christian.omlin@uia.no, or Head of Department Folke Haugland, tel. +47 37 23 32 20, email: folke.haugland@uia.no.

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. Applicants will be advised of the University’s intention to exercise this right.Apply for this jobTell a friendOpen as PDF

About this job

  • DeadlineSunday, March 31, 2019
  • EmployerUniversity of Agder
  • Website
  • MunicipalityGrimstad
  • Jobbnorge ID162223
  • Internal IDRef. 256/18
  • Scope Fulltime
  • Duration Temporary

Apply for this position

Read the job description at the university homepage

s

Post expires on Sunday March 31st, 2019