Tag-arkiv: UiA

PhD fellowship on the topic of “bullying and the learning environment in higher education”

 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 fellowship on the topic of “bullying and the learning environment in higher education”

At the University of Agder, Faculty of Humanities and Education, a temporary, 100% position, is available as a PhD-fellow in special education with emphasis on the theme of bullying and the learning environment in higher education. The location is the Kristiansand campus of the University of Agder. Starting date will be determined in agreement with the faculty.

The Department of Education currently has approximately 50 employees in academic positions and approximately 10 PhD students. The core areas of the department are practical-pedagogical education (upper secondary teacher qualification), elementary school teacher education and kindergarten teacher education, pedagogy and special education as 1-year study, bachelor’s degree and further education, counselling/mentoring, bachelor program in bilingual education, master programs in education and special education, as well as the phd-program in education.

The fellowship will participate in a collaborative project between the Faculty of Humanities and Education and the Faculty of Health and Sport Sciences concerning the higher education learning environment. Applicants must themselves propose a project and research design within a thematic and empirical framework described here:

https://uiano-my.sharepoint.com/:b:/g/personal/peran_uia_no/EclnbCEKqLVJhPuoqWMnARQBvGBtldByjnLJXE54B9VEkA?e=C8Plz7

Applicants must have a master’s degree or equivalent in special education/pedagogy or a related area. It is a prerequisite for employment that the PhD student is admitted to the University of Agder PhD program at the Faculty of Humanities and Education.

More information can be found here:

https://www.uia.no/en/studies2/phd-programmes/specialization-in-education

The University of Agder cooperates with national research schools in educational science.

The position is regarded as a recruitment position, and it requires the ability to work purposefully, efficiently, and independently. In assessing applicants, emphasis will be placed on the quality and relevance of the project description, obtained educational qualifications and results, the relevant academic background, any previously published work and documented development work in addition to relevant practice, personal suitability and cooperation skills.

Applicants must prepare a project description to be submitted with the application. The project description shall have a maximum of 5 pages, excluding literature list, and present and discuss the background for the topic, theoretical perspectives, research questions and methods within the given framework. A progress plan for the coursework component and the completion of the doctorate within the prescribed period will also be presented in the project description.

Potential candidates will be invited for interview. References will be checked in coordination with the candidate. Criteria for appointment in doctoral fellowships are stated in the Regulations on employment conditions for positions such as postdoctoral, fellowship, scientific assistant and special candidates:

https://www.uhr.no/_f/p1/i83a1e613-4f72-4e3a-9852-5289d556871b/regulations_post_doctoral_and_research_fellow.pdf

The dissertation can be written in English, Norwegian or another Scandinavian language. A good knowledge of English, written and oral is required.

The state labor force shall as far as possible reflect the diversity of the population. It is a policy goal for the University of Agder to achieve a balanced staff composition. We therefore encourage all qualified individuals to apply regardless of cultural background, gender, age or disability.

Appointment is carried out by the Employment Committee for teaching and research positions at the University of Agder. The hired person has rights and duties according to the guidelines that apply to the position at any given time. The position is guided by the state wage regulation plan 17.515, fellowship, code 1017, NOK 449,400, -. Statutory contributions to the Government Pension Fund are deducted from the salary.

The application must be submitted electronically. Please use the link “Submit application

The following documentation should be attached to the electronic application:

–       CV with publication list,

–       any professional certifications, a list of at least 3 references, as well as a copy of the applicant’s diploma with grades for master’s work and thesis.

–       a maximum of 8 publications or other scientific work (in addition to the master’s/equivalent thesis)

–       doctoral project description of max. 5 pages.

The applicant is personally responsible for submitting complete documentation digitally within the application deadline. We wish to point out that we cannot conduct the evaluation if attachments are lacking in the application. All documentation must be submitted in a Scandinavian language or in English.

In accordance with the Public Procurement Act §25.2 an applicant can request not to be named on the public applicant list. The university can however determine that the name of the candidate shall be made public. The applicant will receive notice prior to any potential publication.

Application deadline: December 1, 2018

Additional information about the position can be obtained by contacting David Lansing Cameron, Department of Education, david.l.cameron@uia.no or HR advisor, Sevleta Memic; sevleta.memic@uia.no.

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

  • Deadline
    Saturday, December 1, 2018
  • Employer
    University of Agder
  • Website
  • Municipality
    Kristiansand
  • Jobbnorge ID
    157672
  • Internal ID
    Ref. 190/18
  • Scope
    Fulltime
  • Duration
    Temporary

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

Post expires on Saturday December 1st, 2018

Two PhD Research Fellows 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.

Two PhD Research Fellows in ICT

The University of Agder (UiA), Faculty of Engineering and Science, Department of Information and Communication Technology, WISENET Lab, invites applications for two PhD positions, each of three-year duration. These positions are located at the UiA campus in Grimstad, Norway.

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 UiA provides an excellent environment for PhD studies can be found here

The candidates will work in the area of Networked Cyber-Physical Systems, Data Analytics and Distributed control for Autonomous Smart Water Networks.

Brief Information about the WISENET Lab at University of Agder

The herein announced positions will be part of a recently established Lab, namely, the Intelligent Signal Processing & Wireless Networks (WISENET) Lab, led by Prof. Baltasar Beferull-Lozano, and whose activities span across both the Department of Information and Communication Technology and the Department of Engineering. The WISENET Lab has a strong expertise in a range of areas, among them, Data Analytics, Machine Learning, In-Network Processing and Distributed Intelligence, Wireless Communications, Networked Cyber-Physical Systems and Embedded Systems, having 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. The WISENET Lab is now in full expansion phase, having at the present seven PhD students, three postdoctoral researchers, working on different cutting-edge research projects, such as FRIPRO TOPPFORSK, SFI, PETROMAKS, INFRASTRUCTURE and IKTPLUSS Projects, among others. The WISENET Lab is committed to achieving international research excellence; please see the notes about prospective PhD students at WISENET before applying.

Research Topic and Application Domain – Smart Water Networks (SWN)

The open PhD positions are offered in the area of Networked Cyber-Physical Systems and Data Analytics for Autonomous Smart Water Networks, advancing both theoretical aspects and algorithm designs, and considering also several application use cases in the domain of Smart Water Networks (SWN), which is of high importance in Norway, such as Aquaponics, pollution monitoring in the processing industry involving water and drinking water distribution networks (WDN).

Ever increasing pressures on natural and controlled water resources requires the need for effective management including legislative compliance in order to uphold water quality, is also growing. As water issues will continue to be a major challenge in the coming decades, especially in the light of climatic changes, the relevance of and need for SWN have never been more apparent. To this end, the concept of environmental diagnostics and autonomous control, which encompasses not just measurement of parameters (symptoms) but automated understanding (diagnosis) and appropriate automated actions (treatment), is emerging.

SWNs have emerged as a key engineering field that addresses the blend of networked data technologies with water infrastructures in order to solve many of the current challenges. By definition, SWN has an inherited dependence on networked Cyber-Physical Systems, since the latter provides the technological suite to deliver responsible, scalable, and secure architectures in dynamic environments. These networked systems are composed of a large number of interconnected control units over large geographic areas or with high spatial densities. Unfortunately, currently existing scientific and engineering methods do not consider a really multidisciplinary approach involving smart sensing/control components, distributed intelligence and data analytics to offer timely warning, detection, and control, and are in general, very conservative and sub-optimal. The envisioned networked CPS will ensure: a) a highly reliable health protection with respect to both chemical and microbiological contamination, predicting and reacting through actuation (e.g. component dosages, smart valves and pumps), ensuring that the water quality and other ambient parameters are within corresponding limits adapting to the corresponding application demands; b) improved decision making and future planning for service operations and better condition monitoring of infrastructure.

The main topics for the PhD positions will be:

  • Mathematical modelling of space-time evolution of the physical phenomena in relation to the application domains
  • In-network and cooperative signal/data processing (distributed acquisition, local inference, local control and learning strategies). This includes sensing, data fusion and aggregation methods, statistical inference, storage algorithms, and machine learning tools, including deep learning, among others. We will also take into account the heterogeneity of the devices, and evaluate the implications of the cooperation in this heterogeneous framework, considering the constraints imposed by the communication medium, as well as the properly modelled spatiotemporal dynamics associated to the scenarios for each use case
  • High-level data analytics and multi-objective autonomous control algorithms. This includes methods capable of dealing with a large amount of heterogeneous multi-source data, including both data from sensors and subjective data obtained from the quality assessment of end-users (e.g. water utilities, water and food consumers). The data analytics will directly support the control algorithms, but also the situation-aware operation and derivation of good operational patterns, providing information for setting the parameter values for in-network data processing and network resource allocation. The optimal systems design will also consider the end-user demands and requirements, and the overall water quality management costs and constraints.

In addition to the theoretical and algorithm design work, the research work will also involve the demonstration and validation of a real system solution for spatiotemporal dense monitoring and control in one or several of the application domains, showing several gains: (a) the early detection and warning when different types of pollutants are present in WDNs or industrial effluents, (b) improved management of the WDN by correlating pollution distribution with other events, such as leakages or degradation in the WDN, or production parameters for the industrial case (c) optimal balance between fish and plant ecosystems in Aquaponics, so that the water parameters are tuned to maximize the production while guaranteeing quality and minimizing resources, (d) increase of end-user satisfaction and increased benefits of the exploitation of WDN and Aquaponics industrial plants.

Pilot-scale facilities for demonstration will be provided directly by existing and planned projects/infrastructure in the portfolio of other institutions collaborating with the WISENET Lab, namely, the Norwegian Institute for Water Research (NIVA), the Norwegian Institute of Bioeconomy Research (NIBIO) and the Kristiansand Municipality Water Infrastructure network.

More about working at UiA.

Requirements

To be regarded as an eligible applicant, the candidates must have:

  • A solid academic background with a MSc.-degree in Electrical Engineering, Electronics Engineering, Communications Engineering, Industrial Engineering, ICT or equivalent, is required. It is also possible to apply if the applicant is in the last year of the master’s studies and in this case, if the applicant is selected, she or he will start the PhD position once the master’s degree is finished
  • Substantial knowledge of all or most of the following:
    • advanced optimization techniques
    • stochastic processes
    • wireless sensor networks and cyber-physical systems.
    • statistical signal processing
    • algebra
    • machine learning techniques
    • processing of data streams
    • programming in Matlab, C/C++, Python and Java

Experience in Testbed implementation and previous knowledge in data analytics is also welcome.

Candidates should also have:

  • Scientific ambition
  • Motivation and strong interest in cutting-edge research
  • Good analytical and problem-solving skills
  • Capacity for goal-oriented work and ability to concentrate
  • Good communication and team-working skills, inventiveness and a proactive attitude
  • Strong academic credentials, written and spoken English proficiency

Previous participation in national and European projects related to the areas of these positions will also be considered as a plus, as well as the publication of scientific papers in first class international conferences related to these topics.

In return, we offer the opportunity to contribute to the strategic capabilities of a world-class research organisation, along with intensive 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.

Subject to a positive performance evaluation of the first year, the candidates must also be admitted to the PhD Programme in Technology, with ICT as specialisation, within the first three months of the second year. More information about the programme and a complete list of admission requirements can be found here.

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 when the candidate is admitted to the PhD programme

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.

Short-listed applicants will be invited for interviews. UiA will also conduct a reference check before the appointment.

Further provisions relating to the position as PhD 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

Remuneration

Each PhD position is remunerated according to the state salary plan 17.515, code 1017 Research Fellow, 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 these positions, 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 applicants will have rights and obligations in accordance with the current regulations for the public service.

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:

  • Justification (maximum five pages) of the background of the candidate for each of the requirements of the position (see description above about the knowledge areas that a candidate should have)
  • 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, if any
  • 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) or their CEFR certificate
  • Publication list and links to applicant’s scientific publications (if any)
  • A description of the candidate’s research interests, motivation and background for the PhD position. Please, indicate clearly in your application your preferred topic/topics
  • A list with the names and contact information of reference persons that would be willing to be contacted by telephone

The applicants are fully responsible for submitting complete documentation. Without complete documentation we cannot, unfortunately, include you in the assessment process.

Closing date: 03.12.18

For further information, please contact Professor Baltasar Beferull-Lozano, tel. +47 37 23 31 59, e-mail baltasar.beferull@uia.no, Professor Jing Zhou, tel. +47 37 23 31 91, e-mail: jing.zhou@uia.no or Head of Department Folke Haugland, tel. +47 37 23 31 12, 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.

Apply for this job

Read the job description at the university homepage

About this job

  • Deadline
    Monday, December 3, 2018
  • Employer
    University of Agder
  • Website
  • Municipality
    Grimstad
  • Jobbnorge ID
    158715
  • Internal ID
    Ref. 193/18
  • Scope
    Fulltime
  • Duration
    Temporary

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

Post expires on Monday December 3rd, 2018

Post-doctoral research fellow in regional restructuring

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 regional restructuring

Due to the introduction of new study programmes, consistent growth in student applications and increase in funding, the School of Business and Law at The University of Agder invites applications for a temporary 100 % position as a post-doctoral research fellow in regional restructuring and innovation at the Department of Working Life and Innovation. The duration of the position, which is located at campus Grimstad, is two years. The starting date is negotiable with the Faculty.

The School of Business and Law at University of Agder is one of the major university-based business schools in Norway, with approximately 2000 students and around 90 faculty members. The Business School is currently in the process of AACSB accreditation. The School of Business and Law offers an active research environment with close collaboration between professors, post-doctoral research fellows and PhD-students.

Description of the position:

The School of Business and Law has taken a leadership role in research on regional restructuring and regional innovation systems and has the ambition to strengthen its staff dedicated to this line of work. The chosen candidate should contribute to the creation of new knowledge in his/ her specific research area, as well as publish in high quality, international peer-reviewed journals.

The position also entails participation and/ or management of externally funded research applications and projects, and the successful applicant is expected to actively participate and contribute into such activities.

Research work at the department is collaborative, both when it comes to our industrial partners and academic colleagues. We expect the person appointed to participate in our research projects both as part of the team and in the development of new projects. Strengths in any specific methodological orientation (quantitative and/or qualitative) are appreciated.

Specialization

In the ranking of eligible applicants, emphasis will be given to the suitability of each applicant’s field of specialisation in relation to meeting the needs of the Department and complementing the existing academic staff.

The research field for this position is within the areas of regional restructuring and regional innovation systems, with a special focus on how to meet the big global challenges of sustainability and digitalisation. Restructuring is understood through the concept of long-term development paths, including existing industry but also the development of new industries in a region. This research is conducted in a system perspective, both from a regional innovation system and entrepreneurial ecosystem, but also from an actor perspective. The last mentioned implies that the role of different “change agents” for regional restructuring is being studied and analysed. The research should also be in the forefront and contribute to the international research agenda within the area of regional restructuring and change, and hence, contribute to the development of strategies on innovation policies. This includes collaboration with policymakers and other relevant actors in the field of industrial policies.

Moreover, relevant candidates should have good knowledge and understanding of regional innovation research and practice, including the theoretical and methodological intricacies and challenges of entrepreneurship and innovation research. Candidates with publications and/or strong publication pipeline in the mentioned research areas are especially recommended to apply.

Qualifications and terms:

The successful applicant must have a doctoral degree in business administration or management. He/she should have a publication record in addition to a strong research pipeline.

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.

Emphasis will be given to the applicant’s project description and its relevance in relation to ongoing research activities at the Faculty.

Personal suitability for the position and the ability to cooperate will also be emphasized.

The working languages are Norwegian and/or English. For this reason, a high level of oral and written proficiency in English is required. It is a plus if the candidate masters a Scandinavian language.

 

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

We offer:

  • · A variety of responsibilities in a large, exciting and influential organization
  • · A position with opportunities for personal development in a diverse environment
  • · A competent, internationally oriented team of colleagues with wide academic and business networks
  • · Modern facilities and a comprehensive set of welfare offers
  • · Flexible working hours

The position is remunerated according to the State salary scale, salary plan 17.510, code 1352 Post-doctor, gross salary per year NOK 497 000 – 565 500 . 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.

Women are strongly encouraged to apply for the position

The successful applicant will have rights and obligations in accordance with current regulations for the public service and the position. Organisational changes and changes in the duties and responsibilities of the position must be expected. Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions.

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:

  • Certified copies of diplomas
  • Doctoral thesis and timeline for completion if in progress
  • A list of on-going research projects, including papers in the review process
  • A list of academic organisational memberships, roles, and journal editorial boards’ memberships
  • A one-page summary of (a) research interests and pipeline; as well as (b) teaching philosophy and approach
  • A list of references and contact details
  • A CV with a complete list of scientific publications, research presentations, and research dissemination (public lectures, newspaper articles, radio/TV-interviews, etc.)
  • Copies of selected scientific publications (no more than 10)
  • An outline of courses taught with teaching evaluations for the most recent courses

The applicants are fully responsible for submitting complete documentation in a sufficient number of copies before the closing date. 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: 1 November 2018.

For further information, please contact the Head of the Department of Management, Professor, Arne Isaksen, phone (+47) 37 23 33 53, e-mail: arne.isaksen@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.

About this job

  • Deadline
    Thursday, November 1, 2018
  • Employer
    University of Agder
  • Website
  • Municipality
    Grimstad
  • Jobbnorge ID
    158738
  • Internal ID
    Ref. 197/18
  • Scope
    Fulltime
  • Duration
    Fixed Term

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

Post expires on Thursday November 1st, 2018

Post-Doctoral 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.

Post-Doctoral Research Fellow in ICT

The University of Agder invites applications for one full-time, fixed-term appointment as Post-Doctoral Research Fellow in Information and Communication Technology for a period of two years, with possible contract extension. This position is located in Grimstad, Norway, and the starting date is as soon as possible or to be negotiated with the faculty.

The Postdoctoral researcher will be supervised by researchers from the Intelligent Signal Processing and Wireless Networks (WISENET) Lab, Faculty of Engineering and Science, UiA. Information about why UiA provides an excellent working environment can be found here.

The successful candidate will work in the area of Networked Cyber-Physical Systems, Data Analytics and Distributed control for Autonomous Smart Water Networks.

Brief Information about the WISENET Lab at University of Agder

The herein announced position will be part of a recently established Lab, namely, the Intelligent Signal Processing & Wireless Networks (WISENET) Lab, led by Prof. Baltasar Beferull-Lozano, and whose activities span across both the Department of Information and Communication Technology and the Department of Engineering. The WISENET Lab has a strong expertise in a range of areas, among them, Data Analytics, Machine Learning, In-Network Processing and Distributed Intelligence, Wireless Communications, Networked Cyber-Physical Systems and Embedded Systems, having 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. The WISENET Lab is now in full expansion phase, having at the present seven PhD students, three postdoctoral researchers, working on different cutting-edge research projects, such as FRIPRO TOPPFORSK, SFI, PETROMAKS, INFRASTRUCTURE and IKTPLUSS Projects, among others. The WISENET Lab is committed to achieving international research excellence; please see the notes about prospective Postdoctoral researchers at WISENET before applying.

A postdoctoral research position should function as an intermediate step in the research career following the completion of a PhD degree and preceding a faculty position in a university. For this reason, the WISENET Lab is committed to offering the suitable environment and activities that allow the postdoctoral researcher to (i) consolidate her/his research maturity, (ii) develop her/his teaching and advising skills, and (iii) build up a solid resume that facilitates her/his incorporation to the academia as an assistant or associate professor.

Research Topic and Application Domain – Smart Water Networks (SWN)

The open Postdoctoral researcher position is offered in the area of Networked Cyber-Physical Systems and Data Analytics for Autonomous Smart Water Networks, advancing both theoretical aspects and algorithm designs, and considering also several application use cases in the domain of Smart Water Networks (SWN), which is of high importance in Norway, such as Aquaponics, pollution monitoring in the processing industry involving water and drinking water distribution networks (WDN).

Ever increasing pressures on natural and controlled water resources requires the need for effective management including legislative compliance in order to uphold water quality, is also growing. As water issues will continue to be a major challenge in the coming decades, especially in the light of climatic changes, the relevance of and need for SWN have never been more apparent. To this end, the concept of environmental diagnostics and autonomous control, which encompasses not just measurement of parameters (symptoms) but automated understanding (diagnosis) and appropriate automated actions (treatment), is emerging.

SWNs have emerged as a key engineering field that addresses the blend of networked data technologies with water infrastructures in order to solve many of the current challenges. By definition, SWNs have an inherited dependence on networked Cyber-Physical Systems, since the latter provides the technological suite to deliver responsible, scalable, and secure architectures in dynamic environments. These networked systems are composed of a large number of interconnected control units over large geographic areas or with high spatial densities. Unfortunately, currently existing scientific and engineering methods do not consider a really multidisciplinary approach involving smart sensing/control components, distributed intelligence and data analytics to offer timely warning, detection, and control, and are in general, very conservative and sub-optimal. The envisioned networked CPS will ensure: a) a highly reliable health protection with respect to both chemical and microbiological contamination, predicting and reacting through actuation (e.g. component dosages, smart valves and pumps), ensuring that the water quality and other ambient parameters are within corresponding limits adapting to the corresponding application demands; b) improved decision making and future planning for service operations and better condition monitoring of infrastructure.

The main topics for the Postdoctoral researcher position will be:

  • Mathematical modelling of space-time evolution of the physical phenomena in relation to the application domains
  • In-network and cooperative signal/data processing (distributed acquisition, local inference, local control and learning strategies). This includes sensing, data fusion and aggregation methods, statistical inference, storage algorithms, and machine learning tools. We will also take into account the heterogeneity of the devices, and evaluate the implications of the cooperation in this heterogeneous framework, considering the constraints imposed by the communication medium, as well as the properly modelled spatiotemporal dynamics associated to the scenarios for each use case
  • High-level data analytics and multi-objective autonomous control algorithms. This includes methods capable of dealing with a large amount of heterogeneous multi-source data, including both data from sensors and subjective data obtained from the quality assessment of end-users (e.g. water utilities, water and food consumers). The data analytics will directly support the control algorithms, but also the situation-aware operation and derivation of good operational patterns, providing information for setting the parameter values for in-network data processing and network resource allocation. The optimal systems design will also consider the end-user demands and requirements, and the overall water quality management costs and constraints.

In addition to the theoretical and algorithm design work, the research work will involve also the demonstration and validation of a real system solution for spatio-temporal dense monitoring and control in one or several of the application domains, showing several gains: (a) the early detection and warning when different types of pollutants are present in WDNs or industrial effluents, (b) improved management of the WDN by correlating pollution distribution with other events, such as leakages or degradation in the WDN, or production parameters for the industrial case (c) optimal balance between fish and plant ecosystems in Aquaponics, so that the water parameters are tuned to maximize the production while guaranteeing quality and minimizing resources, (d) increase of end-user satisfaction and increased benefits of the exploitation of WDN and Aquaponics industrial plants.

Pilot-scale facilities for demonstration will be provided directly by existing and planned projects/infrastructure in the portfolio of other institutions collaborating with the WISENET Lab, namely, the Norwegian Institute for Water Research (NIVA), the Norwegian Institute of Bioeconomy Research (NIBIO) and the Kristiansand Municipality Water Infrastructure network.

Requirements

To be regarded as an eligible applicant, the candidates must have:

  • A PhD in Electrical Engineering, Computer Engineering, Computer Science, Telecommunication Engineering, or similar. Having a PhD thesis on a related topic is an advantage. It is desirable that the applicant has defended his/her doctoral thesis within the last five years. PhD students are also welcome to apply if their defence is scheduled for the next few months. The PhD-thesis must be approved within the deadline for applying for this position
  • Solid understanding and experience in (some of) the following areas:
    • advanced optimization techniques, including multi-period and networked optimization
    • statistical signal processing and stochastic processes
    • distributed computation for cyber-physical systems
    • data science and machine learning techniques
    • graph signal processing and application to geometric deep learning
    • programming in Matlab, C/C++, Python or Java

Experience in Testbed implementation is also welcome.

Candidates should also have:

  • Scientific ambition
  • Motivation and strong interest in cutting-edge research
  • Good analytical and problem-solving skills
  • Capacity for goal-oriented work and ability to concentrate
  • Good communication and team-working skills, inventiveness and a proactive attitude
  • Strong academic credentials, written and spoken English proficiency

The publication of scientific papers on high impact journals and first-class international conferences related to these topics will be taken into account positively, as well as the previous participation in national or European projects related to the topics above.

In return, we offer the opportunity to work in a world-class research organisation with an excellent research environment. You will collaborate with top scientists in your field and have excellent prospects for personal development in an innovative working environment for aspiring researchers. The environment will also provide opportunities for personal development in a diverse environment, modern facilities and a comprehensive set of welfare offers.

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

The University of Agder is an open, friendly and professional employer, with a Scandinavian view on life/work balance, and with a clear vision to do research to enlighten human understanding.

More about working at UiA.

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.

Remuneration

The position is remunerated according to the State salary scale, salary plan 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 applicants will have rights and obligations in accordance with the current regulations for the public service.

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:

  • Justification (maximum five pages) of the background of the candidate for each of the requirements of the position (see description above about the knowledge areas that a candidate should have)
  • An electronic copy of your PhD thesis and Master’s thesis (if applicable).
  • Summary and links to the applicant’s scientific publications.

The applicants are fully responsible for submitting complete documentation. Without complete documentation we cannot, unfortunately, include you in the assessment process.

Closing date: 26.11.18

For further information, please contact Prof. Baltasar Beferull-Lozano, tel. +47 37 23 31 59, e-mail: baltasar.beferull@uia.no, or Head of Department Folke Haugland, tel. +47 37 23 31 12, 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.

Apply for this job

About this job

  • Deadline
    Monday, November 26, 2018
  • Employer
    University of Agder
  • Website
  • Municipality
    Grimstad
  • Jobbnorge ID
    158712
  • Internal ID
    Ref. 192/18
  • Scope
    Fulltime
  • Duration
    Temporary

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

Post expires on Monday November 26th, 2018