Tag-arkiv: AAU

Aalborg University

One or more PhD Stipend(s) in Human-Robot Collaboration (20-19028)

At the Technical Faculty of IT and Design, Department of Planning, one or more PhD stipend(s) are available within the general study programme Planning and Development. The stipend(s) are open for appointment from 1 June 2019 or soon hereafter.The Department of Planning conducts research and teaching on development and planning in a broad sense, including social science aspects as well as more technical aspects of development, and with a focus on environmental, international as well as administrative dimensions.

Job description

The PhD position(s) are part of the interdisciplinary research collaboration at the Aalborg University Human-Robot Interaction Lab (HRI Lab). In this lab we research HRI from multiple angles and cooperate on development of theories, methods and design concepts to advance future Human-Robot Interaction.

The PhD position(s) are focused on researching symmetries and asymmetries in human robot teams with the objective to improve and advance design and use of robots in work settings. Workplace designs where human workers collaborate with robots are increasing. Workers and robots collaborate on tasks, processes and materials, they share workspace and workers delegate tasks to robots among others. The purpose of human-robot collaboration is that workers and robots will complement each other and improve quality in work processes and products For example, workers can delegate tasks that are repetative or ergonomic challenging to robots and focus on decision making and managing processes or workers can be supported by robots in performing tasks that require technical precision. However, work is unpredictable and collaboration on what might seem as simple tasks easily become difficult in human-human collaboration and likewise in human-robot collaboration. This PhD study contributes a qualitative understanding of human-robot collaboration by investigating symmetries and assymetries in human robot teams at work. The ambition of this research is to develop optimal patterns for human-robot collaboration at work and contribute to develop robots as trusted co-workers. The research will be conducted in collaboration with enterprises in Denmark.

The successful candidate(s) have an education and experience with investigating human-technology interactions for example as MSc in Techno-Antropology or similar education. Experience with robotics and/or workplace studies is an advantage but not a requirement. Expertise in doing empirical studies and using qualitative methods is a requirement. The collaboration with the project partners, data collection and data analysis will be in Danish. Hence, the candidate(s) must be able to understand and communicate Danish/Scandinavian. A high proficiency in oral and written English is required. Good dissemination skills are important.

The PhD(s) will be part of the research group for Techno-Anthropology and Participation (TAPAR) at the Department of Planning, Aalborg University. TAPAR is an interdisciplinary, international and gender-balanced research group. We research existing and emerging technologies from a human-centered, participatory and holistic perspective. Our mission is to contribute to change for the better in technological innovation, design and use. TAPAR researchers work with socio-technical theory and are skilled in participatory design, action research and mixed methods.

The application can be submitted in English or Danish. We prioritize applicants who, additional to a motivation letter, diplomas and curriculum vitae, submit a project proposal (i.e. a project description which is not regarded as final but a proposal). The project proposal must be max 5 pages (not including references). The project proposal must include

1) a research motivation

2) a short presentation of expected theories to be used in investigating human-robot collaboration

3) a short presentation of methods to be used in conducting the empirical study

4) a work plan describing the main phases of the study

You may obtain further information from Professor, Anne Marie Kanstrup, email: kanstrup@plan.aau.dk concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Masters degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of the Technical Faculty of IT and Design, in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed every six months. It is a prerequisite for continuation of salary payment that the previous progress is approved at the time of the evaluation.

The qualifications of the applicants will be assessed by an assessment committee. On the basis of the recommendation of the assessment committee, the Dean of the Technical Faculty of IT and Design will make a decision for allocating the stipend.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Bettina Wedde, The Technical Faculty of IT and Design, email: bew@adm.aau.dk, phone: +45 9940 9909.

The faculty have a research school, The Technical Doctoral School of IT and Design:

http://www.phd.tech.aau.dk/ and a  PhD association and network for PhD students at AAU http://www.phd.tech.aau.dk/current-students/PAU/.

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of November 10, 2015 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the Ministry of Finance current circular on the employment structure at Danish Universities.

Deadline: 30 April 2019
Unit: Department of Planning
Read the job description and apply online

Post expires on Tuesday April 30th, 2019

Postdoc in the area of Operation Research

At the Faculty of Engineering and Science, Department of Mechanical, Production and Management Engineering, a position as a Postdoc in the area of Operation Research is open for appointment from July 1st 2019 or soon thereafter for a period of 2 years. Department of Materials and Production (MP) is a wide-ranging research and educational environment at Aalborg University. The Department’s mission is to meet the future’s demands for new materials and production systems by directing the whole value chain from basic material understanding, materials’ applications in mechanical constructions, industrial production and management. The department has several strong, international and innovative research groups, which comprise everything from basic science to strategic and applicable research. The activities encompass research as well as education within materials, mechanics, physics, production technique, and industrial management and innovation. Benefitting the industry and additional collaborators, several innovative and unconventional collaborations have been and are developed through interdisciplinary co-operations. Thereby, as an employee in the department, you will become a part of an international research environment, where the focus is on innovation, knowledge sharing/building and interdisciplinary collaborations.

Job description

The position is within the Operations Research (OR) group at Aalborg University and the research is in a highly synergic cooperation with leading Danish and European companies and international academic partners. The OR group focuses on analyzing, modeling and solving decision problems primarily in the domains of manufacturing, transportation and defense. Furthermore, the group has a research focus on autonomous systems and scheduling, routing and optimization algorithms from areas such as automated guided vehicles (AGVs), mobile robots and unmanned aerial vehicles (UAVs).

As a successful applicant you will participate in education, academic and collaborative research activities in the group and with external partners. The research covered by the position will be within the core of the research group and the applicant’s profile should therefore address one or several of the areas of Optimization, Discrete Problems, Stochastic Problems, Meta-heuristic development and/or implementation.

The candidate is expected to contribute to ongoing research projects as well as participate in activities supporting future research projects and initiatives.

The applicant with a solid teaching background and very strong English skills will be preferred. Teaching will primarily be within the Global Business Engineering and Operations and Supply Chain Management engineering programs, as well as in other study programs at the university.

The candidate should be able to demonstrate research height in form of ISI’s Web of Science publications and the preferred candidate will also be able to demonstrate application of research in practice. Appropriate candidates should have a master’s and PhD degree in Operations Research, Industrial Engineering, Applied Mathematics, Mathematics or a related field.

Interested applicants may obtain further professional information from Associate Prof. Peter Nielsen, +459940 8932 or e-mail: peter@mp.aau.dk

Qualification requirements:

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

  • A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
  • A current curriculum vitae.
  • Copies of relevant diplomas (Master of Science and PhD). On request you could be asked for an official English translation.
  • Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
  • Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
  • Additional qualifications in relation to the position. References/recommendations.
  • Personal data.

The applications are only to be submitted online by using the “Apply online” button below. An assessment committee will assess all candidates.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact HR-Partner Lise Søndergård Jacobsen by e-mail est-ef-hr@adm.aau.dk or phone (+45) 9940 9567. Information regarding guidelines, ministerial circular in force and procedures can be seen here.

Agreement

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.

Deadline: 1 May 2019
Unit:
Read the job description and apply online

Post expires on Wednesday May 1st, 2019

Postdoc in Machine learning for wireless communications

At the Technical Faculty of IT and Design, Department of Electronic Systems, a position as postdoc in Machine learning for wireless communications is open for appointment from June 1, 2019 or as soon as possible thereafter. The position is available for 12 months. The Department of Electronic Systems is one of the largest departments at Aalborg University with a total of more than 230 employees. The department is internationally recognized in particular for its contributions within Information and Communication Technology (ICT). The research and teaching of the Department of Electronic Systems focus on electronic engineering and the activity areas are organized in the sections: Antennas, Propagation and Millimetre-wave Systems section (APMS), Automation Control section (Control), Connectivity section (CNT), Signal and Information Processing section (SIP), Wireless Communication Networks section (WCN) and Communication, Media and Information technologies (CMI).   The department focuses on maintaining a close interplay with the university’s surroundings – locally, nationally and internationally – as well as producing unique basic research and educating talented and creative engineers. The department collaborates with leading ICT researchers all over the world.

Job description

We seek to appoint a PostDoc to take part in research and knowledge exchange in the research project FTP Celest, which is a project funded by the Danish government in the area of massive MIMO.  

Wireless communication networks are entering an era of massive connectivity, massive density, extreme service demands and massive data. This shift calls for new tools based on machine learning to reinvent the methods for network management and optimization. Research in machine learning for wireless communications is currently exploding. It is a new application domain for machine learning and promises to bring major innovations in the field of wireless communications and also in machine learning as advances in machine learning are required to fit the specific requirements of wireless communications.

The focus of this postdoctoral position is on the use of machine learning techniques to optimize massive MIMO systems. The candidate will have the opportunity to interact and collaborate within a team of researchers working on machine learning, signal processing, information theory and protocol designs applied to diverse wireless systems.

 We seek candidates with the following profile:

– Ph.D. in communication engineering, signal processing, or machine learning.

– Research track record proven through publications in top journals and conferences, such as the ones from IEEE and ACM.

– Willingness to work a the intersection of communication engineering and machine learning. An strong expertise in machine learning is a plus.

– Readiness to interact with industrial partners and engage in collaborative projects.  

Industrial collaboration, teaching experience, as well as experience from collaborative multinational projects can be considered as a plus.    

You may obtain further professional information from Prof. Elisabeth de Carvalho, email: edc@es.aau.dk. 

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

  • A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
  • A current curriculum vitae.
  • Copies of relevant diplomas (Master of Science and PhD). On request you could be asked for an official English translation.
  • Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
  • Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
  • Additional qualifications in relation to the position. References/recommendations.
  • Personal data.

The applications are only to be submitted online by using the “Apply online” button below. An assessment committee will assess all candidates.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact Lisbeth Palmelund by mail est-st-hr@adm.aau.dk or phone (+45) 9940 7553. Information regarding guidelines, ministerial circular in force and procedures can be seen  here. 

Agreement

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Finance’s current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.   

Deadline: 28 April 2019
Unit: Department of Electronic Systems
Read the job description and apply online

Post expires on Sunday April 28th, 2019