[AISWorld] PhD position in Low-Code Development for Logistics Tasks in Mobile Robotics, SDU, Denmark

Thiago Silva thiago.rs at gmail.com
Fri Dec 2 09:13:17 EST 2022


https://www.sdu.dk/en/service/ledige_stillinger/1200903



---



The Maersk Mc-Kinney Moller Institute (MMMI) at the University of Southern
Denmark (SDU) invites applications for a three-year PhD position in
Low-Code Development for Logistics Tasks in Mobile Robotics. The position
is available as soon as possible and the workplace is at SDU’s main campus
in Odense.



*About the PhD project:*



Logistics tasks in low-volume production represent an important opportunity
for automatization via mobile robots. However, for successful application,
easy programming solutions are needed to address the variability of the
spatial context in full 3D. This project aims to provide an adaptive and
re-configurable low-code programming approach for this problem and
demonstrate the approach with the mobile platform of Enabled Robotics (ER).
The position is part of the project *“Low-Code Programming of Spatial
Contexts for Logistic Tasks in Mobile Robotics”* funded by the Innovation
Fund Denmark (IFD) through the Digital Research Centre Denmark (DIREC).



*WHAT WE EXPECT:*



We are looking for a highly motivated, creative, and ambitious student with
an excellent command of English (written and spoken) who can work well both
independently and as part of a team. The candidate should have a master’s
degree in Computer Science, Software Engineering, or Robotics; a genuine
interest in interdisciplinary research; and a drive to conduct applied
research in collaboration with industry. Experience in cyber-physical
systems, machine learning algorithms, and excellent programming skills are
strongly desired. Experience in robot programming, computer vision, and
human-computer interaction is a plus. The ideal candidate is competent to
acquire knowledge and skills in new topics to conduct high-quality
research, present the results at international conferences, and publish in
peer-reviewed scientific journals. We also expect the candidate to take
part in the teaching activities of the Software Engineering section.



*WHAT WE OFFER:*



The successful applicant will join the Software Engineering section at SDU.
The section has grown substantially over the last years with researchers
working on a wide range of topics around software development. The project
is part of a collaboration involving SDU Software Engineering, SDU
Robotics, Enabled Robotics (ER), and Roskilde University (RUC). The student
will spend most of the time at SDU in Odense, but significant time at ER
(located 5 km from SDU) is also planned to support collaboration on
technology development.



As the 3rd largest city in Denmark, Odense provides the perfect combination
of a historic city center with an urban field yet a close proximity to
beaches and recreational areas. Its location on the beautiful island of
Funen is ideal with easy access by train or highway to the bigger cities of
Aarhus and Copenhagen; direct trains can take you straight to Copenhagen
airport in less than 2 hours. Since 1966 the city has been a university
town, and strong collaborative ties are in place between the University of
Southern Denmark and the many Danish and international corporations in the
region. As the birthplace of Hans Christian Andersen, Denmark’s famous
fairytale author, the city is home to a vibrant and creative population
that hosts numerous festivals and markets throughout the year.



*FURTHER INFORMATION:*



Further information about this position is available via email from
Associate Professor Thiago Rocha Silva (trsi at mmmi.sdu.dk) or Associate
Professor Aljaz Kramberger (alk at mmmi.sdu.dk).



If you experience technical problems, you must contact support-sdujob at sdu.dk
.



*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
<https://www.sdu.dk/en/forskning/phd/bliv_phd/conditions> (start salary
amounts to approx. 3.748 EUR 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
<https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/phdstudietsforloebindhold/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
<https://www.sdu.dk/en/om_sdu/international_staff/on+arrival/salary/salary+rates>
and taxation
<https://www.sdu.dk/en/om_sdu/international_staff/on+arrival/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
<https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/regelgrundlag>.



*THE ASSESSMENT PROCESS:*



Read about the assessment and selection process
<https://www.sdu.dk/-/media/files/om_sdu/ledige_stillinger/ansoegere/tek/assessmentandselectionprocess11-2020.pdf>.
Shortlisting and interview may be part of the assessment process.



*APPLICATION PROCEDURE:*



The Faculty expects applicants to read the Faculty information for
prospective PhD students
<https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/becomephd> and the
SDU information on How to apply
<https://www.sdu.dk/en/service/ledige_stillinger/soegjob>before applying.



*The application deadline is the 15th of January 2023.*



The application must be in English and must include the following (the
required forms must be found at the Faculty website
<https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/phdstudietsforloebindhold/ansoegningsskemaer>
):



   - Completed TEK PhD application form for 5+3 applicants. Find the form
   at the Faculty website
   <https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/phdstudietsforloebindhold/ansoegningsskemaer>
   .
   - 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 including personal contact information,
   research and teaching experience, list of publications (if any), and a
   description of your computational skills.
   - In case you have any publications, a maximum of 2 examples of relevant
   papers. Please attach one pdf-file for each publication.
   - 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
   <https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/phdstudietsforloebindhold/ansoegningsskemaer>.
   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% in the
   graduation class for the study programme.
   - References (names and emails) and/or reference letters may also be
   included. You’re welcome to use the form for reference letter at the Faculty
   website
   <https://www.sdu.dk/en/forskning/phd/phd_skoler/phdtek/phdstudietsforloebindhold/ansoegningsskemaer>
   .



The University wishes our staff to reflect the diversity of society and
thus welcomes applications from all qualified candidates regardless of
personal background.


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