PhD Research Fellow in ICT - Collective Deep Learning and Networked Control for Multiple Collaborative Robot Systems

PhD Research Fellow in ICT - Collective Deep Learning and Networked Control for Multiple Collaborative Robot Systems

Norway 15 Mar 2021
University of Agder (UiA)

University of Agder (UiA)

State University (Norway), Browse similar opportunities

OPPORTUNITY DETAILS

State University
Area
Host Country
Deadline
15 Mar 2021
Study level
Opportunity type
PhD
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

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:

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:

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:

Personal qualities

Personal qualities and suitability for the position will be emphasised.

We offer

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:

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:

Other organizations


Choose your study destination


Choose the country you wish to travel to study for free, work or volunteer

Please find also