Tag-arkiv: UiA

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 start date is negotiable with the Faculty.

Responsibilities

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 Top Priority Research 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.
  • Candidates who are in the final stages of their PhD-project might be assessed. It is a prerequisite that the candidate can document an obtained PhD before the hiring process is completed.
  • 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 544 400-565 500 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: 30.09.21

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
  • Head of Department of Engineering and Sciences, Geir Grasmo, tel. + 47 37 23 31 75, e-mail  geir.grasmo@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

30th September 2021

Post expires on Thursday September 30th, 2021

PhD Research Fellow in digitalisation of the public sector

About the position

The University of Agder, Faculty of Social Sciences, Department of Information Systems, invites applications for one full-time PhD Research Fellow in Information Systems for a period of three years, alternatively four years with 25% of the time assigned to tasks at the Faculty’s discretion. The position is located in Kristiansand, Norway.

This position is linked to the AI4Users project which is funded by the Research Council of Norway (see more information below), focusing on the responsible use of Artificial Intelligence in the public sector. The project is led by the University of Agder in partnership with the University of Oslo and the Norwegian University of Science and Technology.  

The Department of Information Systems provides teaching and research at the intersection of technology, organisation and business administration. With around 45 employees (Professors, Associate Professors, Post-docs, Research Fellows and administrative staff), the department is one of the largest information systems research groups in Norway and highly regarded in the AIS community. The Department activities include work related to eHealth, Integrated Emergency Management and Digital Transformation. The candidate will be involved with activities in the Centre for Digital Transformation (CeDiT).

Responsibilities

The candidate will participate in the research team of the AI4Users project together with other researchers from the University of Agder, the University of Oslo and the Norwegian University of Science and Technology. The project’s full title is: “AI4Users: Responsible Use of Artificial Intelligence through Design for Accountability and Intelligibility”. The AI4Users project addresses the “black box” problem and aims at contributing to the responsible use of AI in public sector services. The project takes a human-centred perspective addressing the needs of different groups, including citizens, case handlers at the operational level, middle managers and policymakers. Specifically, the project includes a) design, prototyping and assessing tools enabling different categories of non-experts to maintain insight into AI applications, b) formalisation of design knowledge generated in actionable design principles, c) empirical studies into the needs and challenges of responsible AI specific to the public sector and capacity building through collaborations between academia and the public sector nationally and internationally. The methodological approach employed is Action Design Research (ADR). ADR specifies an iterative and adaptive research process closely linked to practice. Researchers will perform observations and interviews with individuals from the different target groups to gain insights into their needs and experiences. The University of Agder team focuses particularly on the needs of Case Handlers. The aim is to perform research on tools that enable case handlers without a technical background to understand, appropriately trust, and effectively handle AI solutions. The other two partners in the project focus on the needs of citizens (Norwegian University of Science and Technology) and managers and policymakers (University of Oslo).

We are looking for a highly motivated candidate who takes an interest in developing research on responsible AI from an Information Systems perspective. We ask applicants to provide a proposal aligned with AI4Users´ overall scope and design. More information about the project is available upon request. Interested candidates are encouraged to check also the project´s website. 

Required qualifications

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.

The applicants must qualify for admission to the faculty PhD Programme in the Faculty of Social Sciences, with a specialisation within Information Systems, and must hold a master’s degree or equivalent in a relevant area of study, with an average grade of B or better. Applicants who are in the process of finishing their master’s thesis are also welcome to apply for this position.

Specific qualifications for the project are the following: the ability to apply design research approaches, knowledge and experience on user-centred design methods and prototyping techniques.

Applicants must submit a proposal whose scope lies within the scope of the abovementioned project. The proposal should comprise a maximum of ten pages in length, including the reference list. The proposal must contain a preliminary presentation of the problem area, theoretical foundation, methodological approach and planned progression for the doctoral project. The quality of the project proposal will receive a high level of consideration during the application assessment process. Fluency in written and oral English is a prerequisite.

The University, on its side, is committed to securing good supervision for successful applicants.

Desired qualifications

  • Knowledge and experience in Data Science and Machine Learning techniques is an advantage
  • Knowledge of Norwegian or another Scandinavian language is an advantage

Personal qualities

The appointee must have the ability to work in a goal-oriented, organised, focused and independent manner. During the assessment process, emphasis will be placed on the applicant’s examination results as well as any previous research and development work. UiA has signed the DORADeclaration. Relevant practical experience, personal suitability for the position and good teamwork skills will also be emphasised.

Fakultet for samfunnsvitenskap

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 491.200 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 interviews. With the applicant’s permission, UiA will also conduct a reference check before appointment. Read 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 the position”.

The following documentation must be uploaded electronically:

  • Certificates with grades
  • Master’s thesis
  • References
  • Academic work and R&D projects, as well as a list of these
  • Project description with a maximum scope of 10 pages, including the reference list.

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: 30 September 2021.

Contact

For questions about the position:

  • Professor Polyxeni Vassilakopoulou, Dept of Information Systems, e-mail polyxenv@uia.no
  • Professor Bjørn Erik Munkvold, Head of the PhD specialisation in information systems, e-mail bjorn.e.munkvold@uia.no  

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

30th September 2021

Post expires on Thursday September 30th, 2021

PhD Research Fellow in Responsible Data Science

About the position

The University of Agder, Faculty of Social Sciences, Department of Information Systems, invites applications for one full-time PhD Research Fellow in Information Systems for a period of three years, alternatively four years with 25% of the time assigned to tasks at the Faculty’s discretion. The position is located in Kristiansand, Norway.

This position is linked to the AI4Users project, which focuses on the responsible use of Artificial Intelligence in the public sector. Specifically, the position is related to responsible data science.

The Department of Information Systems provides teaching and research at the intersection of technology, organisation and business administration. With around 45 employees (Professors, Associate Professors, Post-docs, Research Fellows and administrative staff), the department is one of the largest information systems research groups in Norway and highly regarded in the AIS community. The department’s activities include work related to eHealth, Integrated Emergency Management and Digital Transformation. The candidate will be involved with activities in the Centre for Digital Transformation (CeDiT).

Responsibilities

This research position aims to investigate the responsible and efficient use of data from citizens´ interactions with the public sector for AI development. This PhD project will develop insights about new types of data infrastructures and the requisite governance mechanisms. The responsible use of AI entails control over the ways for collecting, processing and storing data. Advances in data science allow the development of systems through which diverse types of data can be used together to provide a basis for discovery. These systems determine what data get incorporated into artificial intelligence (AI) algorithms and whose perspective is incorporated or excluded from data-driven knowledge systems. AI can improve the efficiency of public service delivery and limit issues associated with human bias, but only if due care is focused on the data used by those systems and the infrastructures used for collecting, processing and storing the data needed.

This research position aligns with the UN sustainability goal “Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation”. Infrastructures provide the systems and structures essential to the operation of societies and enterprises. The information systems of public service organisations are core parts of contemporary infrastructures. The responsible use of data for Artificial Intelligence contributes to enhancing the quality, efficiency and effectiveness of public information infrastructures supporting human well-being. The project aims to advance the public infrastructures and contribute to introducing trustworthy AI in practice.

We are looking for a highly motivated candidate who takes an interest in developing research on responsible AI from an Information Systems perspective. We ask applicants to provide a proposal aligned with AI4Users´ overall scope and design. More information about the project is available upon request. Interested candidates are encouraged to check also the project´s website.

Required qualifications

Further provisions relating to the positions 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.

The applicants must qualify for admission to the faculty PhD Programme in the Faculty of Social Sciences, with a specialisation within Information Systems, and must hold a master’s degree or equivalent in a relevant area of study, with an average grade of B or better. Applicants who are in the process of finishing their master’s thesis are also welcome to apply for this position.

More details to be found here: https://www.uia.no/studier/forskerutdanning/specialisation-in-information-systems

Specific qualifications for the project are the following: background in Information Systems, knowledge and experience of both qualitative and quantitative research methods.

Applicants must submit a proposal whose scope lies within the scope of the abovementioned project. The proposal should comprise a maximum of seven pages in length, including the reference list. The proposal must contain a preliminary presentation of the problem area, theoretical foundation, methodological approach and planned progression for the doctoral project. The quality of the project proposal will receive a high level of consideration during the application assessment process. Fluency in written and oral English is a prerequisite.

The University, on its side, is committed to securing good supervision for the successful applicant.

Desired qualifications

  • Knowledge and experience in Data Science and Machine Learning techniques is an advantage
  • Knowledge and ability to apply design research approaches is an advantage
  • Knowledge of Norwegian or another Scandinavian language is an advantage

Personal qualities

The appointee must have the ability to work in a goal-oriented, organised, focused and independent manner. During the assessment process, emphasis will be placed on the applicant’s examination results as well as any previous research and development work. Relevant practical experience, personal suitability and good teamwork skills will also be emphasised.

Fakultet for samfunnsvitenskap

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 491 200 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.

Read more about the employment process.

Short-listed applicants will be invited for interviews.

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 the position”.

The following documentation must be uploaded electronically:

  • Certificates with grades
  • Master’s thesis, or, for those who are near to completion of their Master´s degree, an extended abstract combined with a statement about plans to complete the thesis
  • References
  • Academic work and R&D projects, as well as a list of these
  • Project description with a maximum scope of 7 pages, including the reference list.

The applicant is fully responsible for submitting complete digital documentation before the closing date. We draw your attention to the fact that we cannot, unfortunately, include you in the assessment process if attachments are missing. All documentation must be available in a Scandinavian language or English.

Application deadline: 30. September 2021

Contact

For questions about the position:

  • Professor Polyxeni Vassilakopoulou, Dept of Information Systems, e-mail: polyxenv@uia.no   
  • Professor Bjørn Erik Munkvold, Head of the PhD specialisation in information systems, e-mail: bjorn.e.munkvold@uia.no  

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

30th September 2021

Post expires on Thursday September 30th, 2021