Intelligent Digital Twins for Manufacturing Equipment and Processes

Aarhus Universitet (AU)

Ph.d. & forskning
Østjylland (Aarhus)

Applications are invited for a PhD fellowship/scholarship at Graduate School of Science and Technology, Aarhus University, Denmark, within the Engineering programme. The position is available from 1 August 2020 or later.

Title:
Intelligent Digital Twins for Manufacturing Equipment and Processes

Research area and project description:
Production and manufacturing processes involve complex repetitive processing steps, commonly involving expert-based manual inspection for quality assurance. Recent technological advances in the areas of co-simulation, artificial intelligence and digital twins can lead to powerful frameworks and tools enabling data-driven knowledge extraction, on-demand quality analysis, and risk management. Artificial Intelligence (AI)-enabled Industrial Manufacturing Systems will boost automation leading to products and services of higher quality, lower delivery time, and enhanced capabilities.

The Department of Engineering at Aarhus University invites applications for 5 - 6 fully-funded PhD scholarships. The projects are part of the Manufacturing Academy of Denmark (MADE - https://en.made.dk/), the Danish national initiative for collaboration, innovation and research in manufacturing, involving close collaboration with a collection of Danish companies and with focus on one of the following topics:

  • Digital Twin technology and use of co-simulation of heterogeneous models of the manufacturing equipment and process potentially including machine learning for enabling real-time monitoring of processes (Statistical Process Control), and automatic adjustment of processes (Advanced Process Control) and equipment (Advanced Equipment Control).
  • Deep Learning methodologies for 3D X-ray and Visual data analysis: Proposal and development of efficient Deep Learning methods for analysing in real-time sensor data (high-resolution images and 3D X-rays) for in-line quality assessment.
  • Quality assurance through Simulation and Data Analytics: Proposal of processing pipelines combining co-simulation and machine learning methodologies obtaining data-driven quality assurance. The proposed methodologies will include correlating the simulation results with data collected from physical evaluations.

Qualifications and specific competences:
Applicants to the PhD positions must have a relevant Master’s degree in Computer Engineering/Science, or equivalent. Competence in programming using Python, C, Java etc will be advantageous. Competence in mathematics, and relevant topics in digital twins, co-simulation or deep learning are an advantage. The applicants should be enthusiastic about working in an interdisciplinary academic environment.

Place of employment and place of work:
Department of Engineering, Aarhus University, Åbogade 34, 8200 Aarhus N, Denmark.

You will be a joint member of a combination of the Cyber-Physical Systems and the Data-Driven Analytics research groups. The former is strong in supporting Cyber-Physical Systems with models, co-simulation and digital twins, while the latter is strong in both theoretical and applied aspects of machine learning and its sub-areas (like deep learning and statistical learning). In recent years, these research groups have seen close cooperation between different research groups around the world.

As a PhD student, you are a valuable part of the research groups and the department. All PhD students get a support group of experienced advisors outside their own research group. The main purpose of the support group is to give feedback on the PhD work to help you reach your full potential as PhD student, and to ensure that any obstacles that may arise are overcome as smoothly as possible. Another important aspect is socializing with your peers across the department. Social events are continuously organized by the department and student clubs.

Aarhus University was founded in 1928. It has 40,000 students; about 1,800 PhD students – of which one in four has a foreign nationality – and close to 900 postdoctoral scholars together with 11,500 employees. Aarhus University has been establishing itself as a university for cutting-edge research, and has been regularly included in the top-100 Universities of the most important university ranking lists.

Contacts:
Applicants seeking further information are invited to contact:
Professor Peter Gorm Larsen (pgl@eng.au.dk)

Associate Professor Alexandros Iosifidis (ai@eng.au.dk)

Application procedures

Before you applyInformation and attachments:
Please be aware that you must have all relevant appendices, attachments, addresses for referees, etc. ready when you apply, as the entire application must be uploaded to the system in one go.

Documentation of language skills:
The English language requirement at GSST is comparable to an “English B level” in the Danish upper secondary school (“gymnasium”).

English language qualifications comparable to an “English B level” are documented by one of the following tests:

  • TOEFL test (internet-based), minimum score: 83. The GSST does not accept the paper-based test, nor the TOEFL ITP test. Remember to ask the test center to send your test results to Aarhus University in order to enable verification of your test results. Aarhus University’s TOEFL code is 8935.
    Currently, the TOEFL iBT Special Home Edition test (available in selected areas) will also be accepted.
  • IELTS (academic) test, minimum average score: 6.5 points
    If you are applying for a 3+5 or 4+4 programme and therefore simultaneously must be enrolled in a Master’s degree programme, please be aware that the B2 level IELTS test is no longer accepted. For admission in a Master’s degree programme, a result of at least 6.5 points equivalent of C1 level is required as stated in the General admission requirements.
  • Cambridge English Language Assessment:
    Cambridge Certificate of Proficiency (CPE)
    Cambridge English: Certificate of Advanced English with grade A,B or C (CAE)
    Cambridge English: First Certificate with grade A (FCE)

When to take the test and how to upload the documentation:
The test result must not be more than two years old at the time of application.

The English language test should be taken before applying for admission and uploaded under “language skills documentation” in the online application form.

It is possible to apply for admission before you have taken the test. In this case documentation stating that you have signed up for a test (please state expected submission date) must be uploaded. If the test result is not part of the original application the test result is to be sent to sphd@psys.au.dk no later than one month after the application deadline.

The following applicants are exempted from documenting their English qualifications/taking a test:

  • Applicants with citizenship from the following countries: Australia, Canada, Ireland, New Zealand, the United Kingdom, the United States, or one of the Nordic countries (Denmark, Finland, Iceland, Norway or Sweden).
  • Applicants with a Bachelor’s or Master’s programme completed in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States. In this case, please upload your Bachelor’s or Master’s diploma under the section ”Language skills documentation”.
  • Applicants with a Bachelor’s or Master’s programme completed at a Danish university for which the requirement was English B level at the time of admission. In this case, please upload your Bachelor’s or Master’s diploma under the section ”Language skills documentation”.

The programme committee may request further information or invite the applicant to attend an interview.

How to apply:
1) Find the application form:
Go to www.phd.scitech.au.dk/for-applicants/apply-here - Note, the online application system opens on 1 March 2020.
Choose May 2020 Call with deadline 1 May 2020 at noon (11.59 AM CEST).
You will be directed to the call, and must choose the programme “Engineering”.

2) Fill in the following information:

  • Personal information
  • Academic background
  • Admission
  • Financing (if any)
  • Study: In the dropdown menu you must choose the project: "Intelligent Digital Twins for Manufacturing Equipment and Processes"
  • Source (how you found out about the call)

Next to some of the information fields you will find a number. Click on the number to get further directions on how to fill in the information field/what information is needed.

3) Application attachments:
Please be aware that you cannot submit the application if one or several of these documents have not been uploaded.

If you wish to upload more than one document under each section, you must scan/merge all documents into one large PDF file and upload this. Please note that we reserve the right to remove scientific papers, large reports, theses and the like. Instead you can indicate a URL where the information is available.

All information in the application must be in English or Danish, preferably English. A certified English translation is required for documents written in languages other than English or one of the Scandinavian languages (i.e. Norwegian, Swedish or Danish) languages.

As a minimum all applications must include (pdf-files only, max. 20 MB, no zip):

  • One reference (template for references)
  • Curriculum vitae,
  • Motivation (max. 1 page)
  • Transcripts, grade point averages (weighted and unweighted), and diploma(s) for both Bachelor’s and Master’s degree. If the original documents are not in English or one of the Scandinavian languages (i.e. Norwegian, Swedish or Danish) then copies of the original documents as well as a certified English translation must be attached.
  • Project description (½-4 pages). This document should give an overview of what your ideal PhD project would look like in relation to the different subjects covering the wide span of research for these PhD positions. If you wish to, you can indicate an URL where further information can be found. Please note that we reserve the right to remove scientific papers, large reports, theses and the like.
  • Documentation of language skills if required.

After submission of the application, you will receive a confirmation e-mail with an application ID, you should use for reference if needed.

GSST reserves the right to verify the authenticity of your educational diploma and transcripts:

  • Request additional information to verify an application.
  • Reject the application if it is proven, or if the University has reasonable belief, that the information provided is false or if the applicant refuses to provide the requested information, whether or not an offer has already been made.
  • For further information on applying, assessment procedures, etc. please see the GSST Application Guide.

Please note:

  • The programme committee may request further information or invite the applicant to attend an interview.

All interested candidates are encouraged to apply, regardless of their personal background.


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Aarhus Universitet (AU)
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Aarhus Universitet blev grundlagt i 1928 og er i dag i den absolutte verdenselite på flere forskningsfelter. Aarhus Universitet (AU) er blandt verdens 10 bedste universiteter grundlagt inden for de seneste 100 år og har en lang tradition for partnerskaber med nogle af verdens bedste forskningsinstitutioner og universitetsnetværk.

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