PhD position in sensor based process and quality control for dry fiber layups on blades for wind turbines
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Odense M
SDU Robotics, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for a PhD position, where the candidate will work on sensor based process and quality control in the project ALMA (https://eudp.dk/en/node/16728). The position will be vacant from August 15, 2023, or as soon as possible thereafter, and is for a 3-year period.
Research environment
The candidate will be integrated in the section SDU Robotics, which is a team of approx. 65 employees, specialized in research and development of robot solutions within the welfare, industrial and medical domain. We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development.
SDU Robotics is involved in a variety of national and European projects and features a strong network of academic and industrial partners. The aim of the group is to solve challenging research problems derived from real-life challenges by implementing novel robot solutions. We participate in implementing the achieved results in real solutions with end users as Universal Robots, LEGO, Terma and Novo Nordisk.
SDU Robotics is part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 130+ startups and established companies in robotics.
Project description
Automated layups of large dry fiber mats on forms for wind turbine blades is a challenging process, as minor process flaws can lead to undesired wrinkles. It is therefore important to have online sensor guidance of the process and sensor based post process quality control. Both generating sufficiently accurate sensor data and interpreting these are challenging tasks that will be studied in this PhD project.
Profile and requirements
The candidate will participate in SDU Robotics’ comprehensive research and teaching activities within the area of robotics, computer vision and mathematical modeling. The position requires a master’s degree within robotics or a similar area, and the candidate is expected to have a profound knowledge on the majority of the following topics:
Furthermore, the successful candidate is expected to:
Further information
Please visit us on LinkedIn: https://www.linkedin.com/company/SDU-robotics.
Further information about this position is available via email from Professor Henrik Gordon Petersen, [email protected].
If you experience technical problems, you must contact [email protected]
Conditions of employment
Applicants are required to have a master’s degree (equivalent to a Danish master's degree) at the time of enrollment and employment. Employment as a PhD fellow is a 3-year salaried position (start salary amounts to approx. 3.378,- EURO per month incl. supplements).
Employment of a PhD fellow can only happen after the Head of the PhD School has approved the candidate for admission to the PhD school. Employment and enrollment will cease without further notice at the end of the period.
A PhD fellow is not allowed to have any kind of sideline employment, while enrolled as PhD fellow at the faculty.
Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order), read more here.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application procedure
The Faculty expects applicants to read the Faculty information for prospective PhD students and the SDU information on How to apply before applying.
The application deadline is 26.07.2023.
The application must be in English and must include the following - the required forms must be found at the Faculty website:
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Research environment
The candidate will be integrated in the section SDU Robotics, which is a team of approx. 65 employees, specialized in research and development of robot solutions within the welfare, industrial and medical domain. We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development.
SDU Robotics is involved in a variety of national and European projects and features a strong network of academic and industrial partners. The aim of the group is to solve challenging research problems derived from real-life challenges by implementing novel robot solutions. We participate in implementing the achieved results in real solutions with end users as Universal Robots, LEGO, Terma and Novo Nordisk.
SDU Robotics is part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 130+ startups and established companies in robotics.
Project description
Automated layups of large dry fiber mats on forms for wind turbine blades is a challenging process, as minor process flaws can lead to undesired wrinkles. It is therefore important to have online sensor guidance of the process and sensor based post process quality control. Both generating sufficiently accurate sensor data and interpreting these are challenging tasks that will be studied in this PhD project.
Profile and requirements
The candidate will participate in SDU Robotics’ comprehensive research and teaching activities within the area of robotics, computer vision and mathematical modeling. The position requires a master’s degree within robotics or a similar area, and the candidate is expected to have a profound knowledge on the majority of the following topics:
- Computer vision
- Applied artificial intelligence.
- Robot-vision systems
- C++ programming
Furthermore, the successful candidate is expected to:
- Have excellent knowledge of English (written and spoken).
- Be able to work well and communicate expert knowledge in an interdisciplinary team.
- Have the ability of working independently and has a strong sense of responsibility.
Further information
Please visit us on LinkedIn: https://www.linkedin.com/company/SDU-robotics.
Further information about this position is available via email from Professor Henrik Gordon Petersen, [email protected].
If you experience technical problems, you must contact [email protected]
Conditions of employment
Applicants are required to have a master’s degree (equivalent to a Danish master's degree) at the time of enrollment and employment. Employment as a PhD fellow is a 3-year salaried position (start salary amounts to approx. 3.378,- EURO per month incl. supplements).
Employment of a PhD fellow can only happen after the Head of the PhD School has approved the candidate for admission to the PhD school. Employment and enrollment will cease without further notice at the end of the period.
A PhD fellow is not allowed to have any kind of sideline employment, while enrolled as PhD fellow at the faculty.
Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.
The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order), read more here.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application procedure
The Faculty expects applicants to read the Faculty information for prospective PhD students and the SDU information on How to apply before applying.
The application deadline is 26.07.2023.
The application must be in English and must include the following - the required forms must be found at the Faculty website:
- Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website.
- Motivation letter stating your specific interest, motivation and qualifications for the project in question (max. 2 pages). Upload in the field called “Project description”.
- Detailed Curriculum Vitae, describing research, publication and teaching experience, computational skills and including personal contact information.
- Verified copies of the official bachelor diploma and master's diploma and transcripts of exams, both the original documents and in professional English translation.
- Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website. Upload in one of the fields called “Publication”.
- An official document describing the grading scheme of the awarding universities (if not Danish). Upload in one of the fields called “Publication”.
- An official and verified written assessment of the thesis or dissertation project from the grade giving institution, if the thesis/examination project is evaluated by approved/passed. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.
- List of publications and maximum 2 examples of relevant publications, in case you have any publications. Please attach one pdf-file for each publication.
- References (names and emails) and reference letters may also be included. You're welcome to use the form for reference letter at the Faculty website.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 3.7.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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