Tag-arkiv: UiA

PhD Research Fellow – Collective Deep Learning and Networked Control for Multiple Collaborative Robot Systems

About the position

The Faculty of Engineering and Sciences at University of Agder (UiA) has a PhD position available within the fields of Artificial Intelligence, Deep Learning, Cooperative control and Robotics. The position is within the Norwegian Research Council’s Long-term research project “Collective Efficient Deep Learning and Networked Control for Multiple Collaborative Robot Systems (DEEPCOBOT)”. The PhD position is located at Campus Grimstad, affiliated to the Department of Information and Communication Technology, for a period of 3 years with the possibility of extensions based on additional teaching assistance duties. The position is scheduled to start in June 2021, but it is negotiable with the Faculty.

Description

The overall goal of the DEEPCOBOT project is the design of a new generation of decentralized data-driven deep learning-based controllers for multiple coexisting collaborative robots (cobots), which can interact both between themselves and with human operators in order to collectively learn from each other’s experiences and perform cooperatively different complex tasks in a large-scale industrial process environment. The project is motivated by the increasing demand of automation in industry, especially the demand of a safer, more intuitive, more comfortable and more efficient collaboration between multiple cobots and human operators to integrate the best of human abilities (creativity, adaptivity, interaction) and robotic automation (speed, reliability, precision and inexhaustible task execution capability), while being robust across different environments and human operators. This project will lead to several important advances in the areas of machine learning, decentralized shared control for cobots, graph signal processing, design of cross-layer network protocols for distributed computation and collective intelligence across multiple cobots.

The PhD position will cover theoretical advancements, algorithm design, as well as simulation and experimental evaluation, on the following research topics:

1)    Decentralized local controllers at the cobots using the Deep Reinforcement Learning framework, where each cobot learns both from its local information and from other information about other cobots’ learning process in the neighborhood.

2)    Deep learning algorithms for the cobots to infer and predict the motion of human operators interacting with them, including also interpretable, active and transfer learning methods to speed up the learning process and the corresponding shared control strategies guiding the interaction between the cobot and human operators.

3)    Graph signal processing algorithms, graph neural Networks and cross-layer network protocols to provide the required diffusion of information across the cobots so that both the deep learning process is efficient and stable, and the testing running phase is also executed correctly, satisfying the real-time and safety constraints, and minimizing energy consumption.

The project will be integrated in two Centers at UiA, namely, the NFR-Toppforsk funded WISENET Center and the Center of Mechatronics at UiA, where the PhD student will benefit intellectually from the interaction with internationally recognized researchers, well-equipped environments and will build on and strengthen the established cooperation in AI, Machine Learning, industrial robotics, and autonomous networked cyber-physical systems with industry partners, such as ABB Norway, Mechatronics Innovation Lab (MIL), Omron Electronics Norway, and international partners including University of California San Diego (USA), KTH Royal Institute of Technology (Sweden) and the University of Navarra (Spain). The project will give also the opportunity to pay extended visits to Universities in USA, Sweden and Spain.

Required qualifications

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

  • A solid academic background with a MSc. degree in either of these: ICT, Mechatronics, Electronics Engineering, Electrical Engineering, Computer Science, Computer Engineering, or other related disciplines with a grade of B or better in terms of UiA’s grading scale (or equivalent), is required.
  • Applicants must have either already finished their Master degree during the last five years or have a date for the defense of the Master Thesis that will take place not later than March 2021.
  • Substantial knowledge of the following:
    • Systems and Control
    • Machine Learning techniques
    • Advanced Optimization techniques
    • Robotics
    • Wireless sensor networks and cyber-physical systems
    • Statistical signal processing
    • Robot operating system (ROS)
    • Mathematical analysis and linear algebra
    • Programming in Python, Matlab, C/C++.

English proficiency, both written and oral. International candidates that are not exempt from the English language requirements pursuant to the guidelines of the Norwegian Agency for Quality Assurance in Education (NOKUT) must document this through one of the following tests with the stated results or better:

  • TOEFL – Test of English as a Foreign Language with a minimum score of 600 for the Paperbased Test (PBT), or 92 for the Internet-based Test (iBT)
  • IELTS – International English Language Testing System, with the result of 6.5

The candidates can also demonstrate their fluency in English during interview.

A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD Programme in Engineering and Sciences, specialization in Information and Communication Technologies

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.

Desired qualifications

Additional solid knowledge and experience in some of the following areas will be a plus:

  • Theoretical and practical knowledge with robot-related instrumentation and sensors.
  • Knowledge on Deep Learning and Deep Reinforcement Learning.
  • Knowledge on Graph Signal Processing and Decentralized Control algorithms
  • Knowledge on network communication protocols in industrial robotic environments.
  • Additional programming skills or experience in other relevant tools (e.g. Tensorflow, Keras, PyTorch, github, bitbucket, if any).

Personal qualities

  • Scientific ambition, curious to learn and explore.
  • Quick learner, motivated and strong interest in cutting-edge research
  • Good analytical, problem-solving and experimental skills
  • Capacity for goal-oriented work and ability to concentrate
  • Good communication and team-working skills, inventiveness and a proactive attitude

Personal qualities and suitability for the position will be emphasised.

Fakultet for teknologi og realfag

We offer

  • World-class research facilities
  • Positive, inclusive and diverse work environment
  • Modern facilities and a comprehensive set of welfare offers  
  • Professional development in a large, exciting and socially influential organisation
  • Membership of the Norwegian Public Service Pension Fund

More about working at UiA.

Information about why UiA provides an excellent working environment can be found here.

The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 482 200 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.

General information

UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.

Women are strongly encouraged to apply for the position. 

The successful applicant will have rights and obligations in accordance with the current regulations for the position, and organisational changes and changes in the duties and responsibilities of the position must be expected. The engagement is to be made in accordance with the regulations in force concerning the acts relating to Control of the Export of Strategic Goods, Services and Technology. Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions.

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

In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right. 

Application

The application and any other necessary information about education and experience (including diplomas and certificates) are to be sent electronically only. Use the link “Apply for this job“.

The following documentation should be submitted as attachments to the online application:

  • A research statement (maximum 4 pages) including:
    • a justification of the background of the candidate for the requirements of the position (see description above about the required knowledge areas).
    • an outline of applicant’s research interests in line of the research topics of this position.
    • a short presentation of the motivation of the applicant
    • a tentative research proposal related to the proposed project, meeting the above research objectives.
  • Certificates and transcripts for the Bachelor’s degree and Master’s degree, 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.
  • 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.
  • Names and contact information of two reference persons
  • List and links to applicant’s scientific publications (if any)

The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in a Scandinavian language or English.

Application deadline: 15.03.21 

Contact

For questions about the position:

For questions about the application process:

Campus Grimstad

University of Agder

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.

Read the job description at the university homepage

Apply for this job

Deadline

15th March 2021

Post expires on Monday March 15th, 2021

Post-Doctoral Research Fellow – Collective Deep Learning and Networked Control for Multiple Collaborative Robot Systems

About the position

The Faculty of Engineering and Sciences at the University of Agder (UiA) has a joint Post-doctoral Research Fellow position available within the fields of Deep Reinforcement Learning, Robotics and Cooperative Control. The position is within the Norwegian Research Council Long-term research project “Collective Efficient Deep Learning and Networked Control for Multiple Collaborative Robot Systems (DEEPCOBOT)”. The position is located at Campus Grimstad and will be shared among the Department of Engineering Sciences (50%) and the Department of Information and Communication Technology (50%), for a period of two years. The position is scheduled to start in June 2021, but it is negotiable with the Faculty.

Description

The overall goal of the DEEPCOBOT project is the design of a new generation of decentralized data-driven deep learning-based controllers for multiple coexisting collaborative robots (cobots), which can interact both between themselves and with human operators in order to collectively learn from each other’s experiences and perform cooperatively different complex tasks in a large-scale industrial process environment. The project is motivated by the increasing demand of automation in industry, especially the demand of a safer, more intuitive, more comfortable and more efficient collaboration between multiple cobots and human operators to integrate the best of human abilities (creativity, adaptivity, interaction) and robotic automation (speed, reliability, precision and inexhaustible task execution capability), while being robust across different environments and human operators. This project will lead to several important advances in the areas of machine learning, decentralized control for cobots, graph signal processing, design of cross-layer network protocols for distributed computation and collective intelligence across multiple cobots.

The position will cover theoretical advancements, algorithm design, as well as simulation and experimental evaluation, on two of the following research topics:

1)    Deep learning algorithms for the cobots to infer and predict the motion of human operators interacting with them, including also interpretable, active and transfer learning methods to speed up the learning process and the corresponding shared control strategies guiding the interaction between the cobot and human operators.

2)    Decentralized local controllers at the cobots using the reinforcement learning framework, where each cobot learns both from its local information and from other information about other cobots’ learning process in the neighborhood.

3)    Graph signal processing algorithms, graph neural networks and cross-layer network protocols to provide the required diffusion of information across the cobots so that both the deep learning process is efficient and stable, and the testing running phase is also executed correctly, satisfying the real-time and safety constraints, and minimizing energy consumption.

The project will be integrated in two Centers at UiA, namely, the Center of Mechatronics and the NFR-Toppforsk funded WISENET Center at UiA, where the Post-Doctoral Research Fellow will benefit intellectually from the interaction with internationally recognized researchers, well-equipped environments and will build on and strengthen the established cooperation in AI, Machine Learning, industrial robotics, and autonomous networked cyber-physical systems with industry partners, such as ABB Norway, Mechatronics Innovation Lab (MIL), Omron Electronics Norway, and international partners including University of California San Diego (USA), KTH Royal Institute of Technology (Sweden) and the University of Navarra (Spain). The project will give also the opportunity to pay extended visits to Universities in USA, Sweden and Spain. The robots used in this project are TIAGo robot, UR5 cobot, and ABB Yumi cobot.

Required qualifications

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

  • A PhD in either Robotics, ICT, Mechatronics, Control, Mechanical Engineering, Electrical Engineering, Computer Science, or other related disciplines. Having a PhD thesis on a topic specifically related to the position is an advantage. It is desirable that the applicant has defended her/his doctoral thesis within the last five years. PhD students are also welcome to apply if their thesis has been submitted before the deadline.
  • Written and spoken English proficiency. 
  • The candidate must have expertise in the following areas:
    • Efficient deep learning and reinforcement learning
    • Advanced control theory
    • Robotics
  • In addition, the candidate is expected to have good programming skills or experience in Python, Matlab, C/C++, Robot Operating System (ROS), and relevant tools (e.g. Tensorflow, Keras, PyTorch, github).

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.

Desired qualifications

Additional solid knowledge and experience in some of the following areas will be a plus:

  • Advanced Optimization techniques.
  • Robot-related instrumentation and sensors.
  • Computer vision.
  • Graph signal processing, graph neural networks.
  • Wireless sensor networks and cyber-physical systems
  • Network communication protocols in industrial robotic environments.

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 other national or international projects related to the topics above.

Personal qualities

  • Scientific ambition, curious to learn and explore.
  • Quick learner, motivated and strong interest in cutting-edge research.
  • Good analytical, problem-solving and experimental skills.
  • Strong academic credentials.
  • Excellent written and spoken English language skills.
  • Capacity for goal-oriented work and ability to concentrate.
  • Good communication and team-working skills, inventiveness and a proactive attitude.
  • Capacity also to perform independent research.
Fakultet for teknologi og realfag

We offer

  • World-class research facilities and 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.
  • Positive, inclusive and diverse work environment.
  • Modern facilities and a comprehensive set of welfare offers.
  • Professional development in a large, exciting and socially influential organisation.
  • Membership of the Norwegian Public Service Pension Fund.

A post-Doctoral 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, our Centers are committed to offering the suitable environment and activities that allow the post-doctoral researcher to: (i) consolidate her/his research maturity, (ii) develop her/his teaching and supervision skills by working and co-advising PhD students, and (iii) build up a solid resume that facilitates her/his incorporation to the academia as an assistant or associate professor.

More about working at UiA.

Information about why UiA provides an excellent working environment can be found here.

The position is remunerated according to the State Salary Scale, salary plan 17.510, code 1352 Post-Doctoral Research Fellow, NOK 545 300-566 700 gross salary per year. Higher salary grades may be considered for particularly well-qualified applicants. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.

General information

UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.

Women are strongly encouraged to apply for the position. 

The successful applicant will have rights and obligations in accordance with the current regulations for the position, and organisational changes and changes in the duties and responsibilities of the position must be expected. The engagement is to be made in accordance with the regulations in force concerning the acts relating to Control of the Export of Strategic Goods, Services and Technology. Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions.

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

In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right. 

Application

The application and any other necessary information about education and experience (including diplomas and certificates) are to be sent electronically only. Use the link “Apply for this job“.

The following documentation shall be submitted as attachments to the online application:

  • CV with a complete list of scientific publications, indicating the main five scientific publications which the candidate wishes to particularly emphasise for the assessment process.
  • Certificates and transcripts with grades (Bachelor, Master and PhD).
  • A one-page summary of the PhD dissertation and electronic copy of your PhD thesis or link.
  • Justification (maximum five pages) of the background of the candidate for the requirements of the position (see description above about the knowledge areas that a candidate should have).
  • Project plan (maximum two pages) proposed by the candidate in relation to this post-doctoral position.
  • Names and contact information of two reference persons.
  • Any other relevant documentation.

The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in a Scandinavian language or English.

Application deadline: 15.03.21 

Contact

For questions about the position:

  • Professor Jing Zhou, tel. +47 37 23 31 91, e-mail jing.zhou@uia.no
  • Professor Baltasar Beferull Lozano, tel. +47 37 23 31 59, e-mail baltasar.beferull@uia.no
  • Assistant Head of Department of Engineering and Sciences, Tom Viggo Nilsen, tel. +47 37 23 32 55, e-mail tom.v.nilsen@uia.no
  • Head of Department of Information and Communication Technologies, Folke Haugland, tel. +47 37 23 31 12, e-mail folke.haugland@uia.no

For questions about the application process:

Campus Grimstad

University of Agder

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.

Read the job description at the university homepage

Apply for this job

Deadline

15th March 2021

Post expires on Monday March 15th, 2021

PhD Research Fellow in Education – Peace, Justice and Strong Institutions – Promoting peaceful and inclusive societies for sustainable development

About the position

A 100% position is available at the University of Agder, Faculty of Humanities and Education, as a PhD Research Fellow in Pedagogy for a period of three years. The position is related to the faculty’s doctoral programme, specialising in pedagogy. The position has its main affiliation to the Department of Education and is also affiliated to the Department of Religion, Philosophy and History.

More information can be found here. The starting date is January 1. 2021 or by agreement with the faculty. The position is located at Campus Kristiansand/Campus Grimstad. 

Research project

The position is related to the university’s commitment to sustainability. The research project will be linked to the program Democratic Mobilization. It should in particular focus on issues considering one or more of the following aspects related to democracy: Critical thinking, anti-discrimination, diversity, participation, accountable and inclusive institutions. Projects that focus on these topics from an educational perspective are welcome. Projects that are relevant for the Norwegian educational system in an international perspective will be preferred. The applicant must submit a project description accompanying the application. The project description must have a maximum length of five pages (excluding bibliography) and present a draft with theoretical/empirical perspectives, research questions, design/methods, ideas of  operationalisation, and a progress plan indicating a framework for completion. The application may be submitted in a Scandinavian language or English.

Required qualifications

Further provisions relating to the positions as PhD Research Fellows 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. 

  • We expect good teamwork, communication skills and the ability to participate in research communities across organisational units.
  • Master’s degree from a Norwegian or accredited international university in Pedagogy or similar with very good (B) or excellent (A) results
  • Language competence in a Scandinavian language or a serious intention to learn the Norwegian language within a short time 
  • Interest, experience and expertise in democratic issues

Desired qualifications

  • Relevant working experience related to the PhD-position
  • International relations / network
  • Language skills

Personal qualities

  • Professional involvement
  • Ability to work independently
  • Organisational and time-management skills
  • Teamwork skills
  • Interpersonal skills 
  • An open-minded and curious attitude

Personal qualities and suitability for the position will be emphasised. It is a prerequisite that the appointee has a residence which enables him or her to be present at/available to the academic community during ordinary working hours.

A prerequisite for employment is that the candidate is to be admitted to the PhD programme at the Faculty of Humanities and Education.

Bilde 1

We offer

  • professional development in a large, exciting and socially influential organisation
  • a positive, inclusive and diverse working environment
  • modern facilities and a comprehensive set of welfare offers
  • membership of the Norwegian Public Service Pension Fund

More information about working at UiA can be found here. The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 482 200 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.

General information

UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.

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

Short-listed applicants will be invited for an interview. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read more about the employment process here.

In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The university, however, reserves the right to publish the names of applicants. Applicants will be advised of the university’s intention to exercise this right. If the position is announced in English (or another language): In case of discrepancies between the Norwegian and the English version of this description, the Norwegian version takes precedence.

Application

The application and any necessary information about education and experience (including diplomas and certificates) are to be sent electronically. Use the link ‘Apply for this job’

The following documentation must be uploaded electronically:

  • Certificates with grades
  • Master’s thesis
  • References
  • Academic work and eventual R&D projects, as well as a list of these
  • Project description with a maximum length of five pages (see details above).
  • The project description (maximum length of five pages – see details above)
  • Any other relevant documentation

The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in a Scandinavian language or English.

Application deadline: 05.12.20

Contact

For questions about the position:

About ‘democratic mobilization’: https://www.uia.no/en/about-uia/faculties/faculty-of-humanities-and-education/democratic-mobilization-demo/democratic-mobilization-democracy-on-education-s-agenda

For questions about the application process:

Campus Kristiansand

University of Agder

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.

Read the job description at the university homepage

Apply for this job

Deadline

5th December 2020

Post expires on Saturday December 5th, 2020

PhD Research Fellow in Mathematics Education

About the position

A 100 % position is available at the University of Agder, Faculty of Engineering and Science as a PhD Research Fellow in Mathematics Education, affiliated to the Department of Mathematical Sciences, for a period of three years, or for suitable candidates four years with 25% required duties. The position is located, at present, at Campus Kristiansand. The starting date is negotiable with the Faculty.

The Department of Mathematical Sciences has a large and active research group in mathematics education, MERGA, with about 20 fellows on its PhD programme. The research group MERGA was rated very high in a national survey of educational research conducted by The Research Council of Norway in 2017, and since autumn 2018 has been recognised as one of five Top Research Centres at the University of Agder. The person appointed will join this research group. The group pursues a variety of research interests focusing especially on five main strands within mathematics education: Teaching and learning mathematics in kindergarten and early school years; Teaching and learning mathematics in higher education; Mathematics teaching and learning in teacher education and professional development; Emergent technologies in mathematics teaching and learning; Mathematics in non-mathematical practices.

MatRIC, The Centre for Research, Innovation and Coordination of Mathematics Teaching is a national Centre for Excellence in Higher Education, established in January 2014, and is led by the Department of Mathematical Sciences. The person appointed, with research in an appropriate area could contribute to the work and development of the Centre.

The mathematics education research group has substantial and on-going experience of leading and contributing to large research projects funded by The EU, The Research Council of Norway, Nordforsk, the Competence Development Fund of Southern Norway, and others. The Department has hosted the Nordic Graduate School in Mathematics Education and contributes actively to the Nordic mathematics education community. The University of Agder has excellent library support and collection of research literature in mathematics education (in English and Scandinavian languages) and on-line access to all leading journals in the field.

Responsibilities

Proposals are sought that seek to explore and understand better mathematics education in any of the three following areas.

1. Reasoning and argumentation in primary school mathematics

In Norway and internationally, reasoning and argumentation are increasingly considered to be topics that should be addressed in primary schools. However, it is not clear how this can be done or even what is meant by ‘reasoning and argumentation’ in the primary school context. This is in part because these topics, until recently, were seen as inaccessible to younger pupils. A limited amount of research has been done on this topic, which has shown that younger pupils are capable of such thinking. Now, in some places, including Norway with the latest new curriculum “Fagfornyelsen”, school curricula are changing to recognise this. However, most teachers in primary schools have not been prepared to include reasoning and argumentation in their teaching.

More research is needed especially on the design, implementation and evaluation of learning environments that promote reasoning and argumentation. A fellow undertaking this research area will work on school based research on the teaching and learning of reasoning and argumentation.

2. Development of knowledge and skills in initial mathematics teacher education and early years of teaching career

Growing pedagogical and didactical demands are broadening and deepening teachers’ roles in schools.  To become effective teachers, policy makers and researchers point to the importance of subject matter and pedagogical content knowledge, competences to plan and manage classroom discourse and the ability to maintain a classroom milieu that supports the development of higher order thinking skills. What are optimal conditions within teacher education programmes that support the development of the required knowledge, skills and competences? Are there patterns in the experiences of individuals during their time in initial teacher education programmes and in early years of their careers? Projects that follow this line of research may range from phenomenological approaches to case studies or mixed or quantitative research designs. 

3. Using biosensor technology to advance mathematics education research

Rapid developments of technology offer possibilities unknown earlier for studying human behavior.  New tools such as eye-tracking, electroencephalography, galvanic skin response, facial expression analysis are now affordable for educational research. Real-time measurements of autonomous and nonconscious responses and brain activity offer insights into students’ actions, thinking and feelings facilitating innovative research on cognitive load and brain synchrony and suggest new ways to look at classical problems regarding expert-novice comparisons, mathematics tasks/text design, multimedia learning, and mathematical reasoning in different contexts. Research using these technologies on processes of learning from alternative sources (both print and digital) and mathematical reasoning in contexts of graphic, visual, text and symbolic representations at all levels would be welcome.

Required qualifications

The candidate must hold a cand. scient. or master’s degree in Mathematics or Mathematics Education or other field with a strong mathematics component (e.g. Physics). This year’s master’s candidates/candidates who are in the closing stages of their master’s degree can also apply. A teaching qualification is also essential for areas one and two above.

For candidates with research proposals in area 3, also candidates with background from cognitive psychology or neuroscience including use of biosensing technology will be considered.

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.

The list of countries this pertains to can be found here

Possible categories of applicants from particular countries may be exempted, see here.

Please note that the English test requirement applies to applicants from most countries according to the list mentioned above. No other tests will be approved, and certifications/statements cannot replace a test.

The applicant must submit an approved project description within three months of appointment.

A prerequisite for employment is that the candidate is to be admitted to UiA’s PhD programme in Engineering and Science, Specialisation in Mathematical Sciences, Scientific Field in Mathematics Education.

Further provisions relating to the positions as PhD Research Fellows 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.

Desired qualifications

Length of school experience and knowledge of Norwegian or Scandinavian language will be taken into account in the selection of a suitable candidate. At the University of Agder, PhD dissertations may be written in Norwegian, another Scandinavian Language or English.

Personal qualities

Personal suitability and good teamwork skills will be emphasized in the evaluation as well as relevant practical experience. Research Fellows are expected to contribute to the active research community at the University. The position places demands on the applicant’s capacity for independent goal-oriented work, ability to concentrate and attention to detail. Applicants will be assessed on the basis of academic background and results, attainment, and any previous research activity, in addition to a (preliminary) research proposal submitted with the application (see below).

Research visits to an external institution or with a national or international partner for part of the period of employment may be anticipated.

Fakultet for teknologi og realfag

We offer

  • professional development in a large, exciting and socially influential organisation
  • a positive, inclusive and diverse working environment
  • modern facilities and a comprehensive set of welfare offers 
  • membership of the Norwegian Public Service Pension Fund

More about working at UiA.

The position is remunerated according to the State Salary Scale, salary plan 17.515, code 1017 PhD Research Fellow, NOK 479 600 gross salary per year. A compulsory pension contribution to the Norwegian Public Service Pension Fund is deducted from the pay according to current statutory provisions.

General information

UiA is an open and inclusive university. We believe that diversity enriches the workplace and makes us better. We, therefore, encourage qualified candidates to apply for the position independent of gender, age, cultural background, disability or an incomplete CV.

The successful applicant will have rights and obligations in accordance with the current regulations for the position, and 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.

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

In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right to publish the names of applicants. Applicants will be advised of the University’s intention to exercise this right.

Application

The application and any necessary information about education and experience (including diplomas and certificates) are to be sent electronically. Use the link “Apply for this job“.

The following documentation must be uploaded electronically:

  • A letter of application which includes a rationale for applying for the position together with an outline of the applicant’s research interests and background for the proposed project
  • Certificates with grades
  • Master’s thesis
  • References
  • A list, summary and links to the applicant’s scientific publications if produced must be included if the be considered
  • A short research proposal (preliminary) that sets out background, rationale, recent work and research design for the intended study.This should not extend beyond about 5 pages, but it will form an important part of the evaluation of candidates. It must be made clear to which of the three listed topic areas above the proposal relates.
  • Any other relevant documentation

The applicant is fully responsible for submitting complete digital documentation before the closing date. All documentation must be available in a Scandinavian language or English.

Application deadline: 22.06.20

Contact

For questions about the position:

For questions about the application process:

Campus Kristiansand

University of Agder

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

Read the job description at the university homepage

Apply for this job

Deadline

22nd June 2020