Mircroscopyand Spectroscopy Characterrization Methods (2025)

Welcome to Mircroscopyand Spectroscopy Characterrization Methods

Description: 

Proper choice of characterization methods is crucial in most experimental projects. This course addresses theory and application of several microscopy and spectroscopy techniques important in studies of bulk materials, surfaces as well as bio- and nanoscale objects. Essential part of the course is hands-on training in selected microscopy and spectroscopy techniques. The participants can prioritize up to 3 methods of interest for hands-on training.

The course covers six topics:

•                          Electron and X-ray diffraction (L. Diekhöner);

•                          Scanning electron microscopy (SEM) and X-ray microanalysis (L. Gurevich and M. Larsen);

•                          Scanning probe microscopy (SPM) (L. Gurevich and P. Fojan);

•                          Raman spectroscopy (L.R. Jensen);

•                          Terahertz (THz) spectroscopy (E. Skovsen);

•                          Sum frequency spectroscopy (K. Pedersen)

•                          Nuclear Magnetic Resonance (NMR) (R. Wimmer).


Prerequisites: The course is suitable for participants with different background (physics, chemistry, biology, medicine, mechanical/materials/electronic engineering and similar).

Learning objectives: 

Form of evaluation:

Description of course assignment

The course entitles PhD students to 3 ECTS which requires active preparation in lectures, hands-on training as well as submission of a report of sufficient quality. The report should focus on one of the experimental methods applied during the course and, if possible, should be based on the measurements on student’s own samples. If a student is not able to bring his/her own samples, the data from demo samples provided by us can be used.

The report has to include:

- Theoretical background of the experimental method used;

- Description of the material(s) examined;

- Goal of the study;

- Description of the experimental procedure;

- Presentation of the results obtained and description of data processing (if necessary);

- Data analysis correlating the material structure/properties with the obtained experimental results;

- Conclusion;

- List of references.

The report is expected to be about 10 pages. Note that all report will be checked with anti-plagiarism software Urkund prior to assessment. Reports with substantial plagiarism level will be rejected.

The report should be uploaded as pdf file into the below folder by December 15th.

Organizer: 

Dr. Leonid Gurevich, lg@mp.aau.dk

Lecturers: 
Kjeld Pedersen, MP, Peter Fojan, MP; Lars Diekhöner, MP; Mikael Larsen, MP; Lars Rosgaard Jensen, MP; Esben Skovsen, MP; Leonid Gurevich, MP; Reinhard Wimmer, BIO.

ECTS: 3

Time: 24 - 28 November 2025

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 18

Deadline: 3 November 2025

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.


Developing advanced research in Operations and Supply Chain Management (2025)

Welcome to Developing advanced research in Operations and Supply Chain Management

Description: 

The course will be organised in terms of three sections. Students need to attend all the sections in order to receive an attendance certificate, which will be given in the last section of the course. Free coffee and tea will be provided on each day of the course.

Section 1: The design and implementation of operations and supply Chain Management research

In this section, lectures will be given to introduce how to design and conduct Operations/Production and Supply Chain Management related research by applying various methods. Specifically,

·         Professor Wu will elaborate research design and implementation based on case study;

·         Professor Wong will introduce research design and implantation based on survey; and

·         Professor Blome will teach research design and implantation based on secondary data and other methods.

Section 2: The introduction of research frontiers in Operations/Production and Supply Chain Management

In this section, lectures about research frontiers in the fields of Operations/Production and Supply Chain Management will be given. Specifically,

·         Associate Professor Cheng will introduce frontiers related to digitalisation and international operations; and

·         Professor Wæhrens will introduce frontiers related to sustainable operations.

Section 3: Publication and project application

In this section, five lecturers will introduce their experience in how to publish journal papers and apply research projects. Among five lecturers,

·         Professor Wu is the associate editor of Journal of Operations Management, Journal of Supply Chain Management, Journal of Journal of Purchasing & Supply Management, and Decision Sciences Journal;

·         Professor Blome is the Editor-in-Chief of International Journal of Operations & Production Management;

·         Professor Wong is the Editor-in-Chief of International Journal of Physical and Distribution Management and senior associate editor of International Journal of Logistics Management;

·         Associate Professor Cheng is the associate editor of Production Planning & Control;

·         Professor Wæhrens is advisory board member of Industrial PhD program under Innovation fond Denmark, who have been granted dozens of Danish research projects with the funding of more than 20 million DKK.

This section will be organised as a seminar, where students will firstly introduce their research in brief (3-5 mins each) and afterwards students will have the opportunity to have dialogues with five lecturers.

The course will last for 3 days: the teaching from each lecturer will be half a day, and Section 3 will also last for half a day.

Remarks:

The course will target PhD students in the fields of Operations/Production and Supply Chain Management from all the Danish universities and ideally from the universities all over the world.

Prerequisites: 

The students need to have taken relevant courses related to operations and supply chain management. In addition, they are requested to read the following course materials:

For Prof. Wu’s lecture:

  • Voss, C., Tsikriktsis, N., & Frohlich, M. (2002). Case research in operations management. International Journal of Operations & Production Management, 22(2), 195-219.
  • Wu, Z., & Jia, F. (2018). Toward a theory of supply chain fields–understanding the institutional process of supply chain localization. Journal of Operations Management, 58, 27-41.

For Prof. Wong’s lecture:

  • Forza, C. (2002). Survey research in operations management: a process‐based perspective. International journal of operations & production management, 22(2), 152-194.
  • Wong, C. Y., Boon-Itt, S., & Wong, C. W. (2011). The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. Journal of Operations management, 29(6), 604-615.

For Prof. Blome’s lecture:

  • Ketokivi, M., Bromiley, P., & Awaysheh, A. (2021). Making theoretically informed choices in specifying panel‐data models. Production and Operations Management, 30(7), 2069-2076.
  • Porter, C. O., Outlaw, R., Gale, J. P., & Cho, T. S. (2019). The use of online panel data in management research: A review and recommendations. Journal of Management, 45(1), 319-344.

For Dr. Cheng’s lecture:

  • Cheng, Y., Farooq, S., & Johansen, J. (2015). International manufacturing network: past, present, and future. International Journal of Operations & Production Management, 35(3), 392-429.
  • Li, X., Cheng, Y., Xia, X., & Møller, C. (2024). Data Governance and Data Management in Operations and Supply Chain: A Literature Review. arXiv preprint arXiv:2407.06199.

For Prof. Wæhrens’s lecture:

  • Jensen, S. F., Kristensen, J. H., Christensen, A., & Waehrens, B. V. (2024). An ecosystem orchestration framework for the design of digital product passports in a circular economy. Business Strategy and the Environment.
  • Ayati, S. M., Shekarian, E., Majava, J., & Wæhrens, B. V. (2022). Toward a circular supply chain: Understanding barriers from the perspective of recovery approaches. Journal of cleaner production, 359, 131775.
Learning objectives: 

The course is about “Developing advanced research in Operations and Supply Chain Management (OSCM)”. It aims to provide a platform for PhD students to learn different research methodologies and research frontiers in the OSCM context. It will include several sessions delivered by five leading scholars from Aalborg University, Oregon State University, Lancaster University, and Leeds University. PhD students will have an opportunity to present their research in the course and to seek advice from relevant faculty members. The course will also enable PhD students to meet and network with each other and to explore future research collaborations.

Form of evaluation:

Students need to present their studies during the course and have dialogues with the lecturers. After the course, they need to link what they learn in the course with their own studies, update their research designs, and deliver reports. Online exams, lasting for half an hour each, will be arranged with students, where they can further elaborate their reports and get feedbacks.

Organizer: 

Associate Professor, Yang Cheng, cy@mp.aau.dk

Lecturers: 

  • Associate Professor, Yang Cheng, Department of Materials and Production, Aalborg University
  • Professor, Brian Vejrum Wæhrens, Department of Materials and Production, Aalborg University
  • Professor, Zhaohui Wu, College of Business, Oregon State University
  • Professor, Constantin Blome, Academic Dean, Lancaster University Leipzig
  • Professor, Chee Yew Wong, Business School, Leeds University
ECTS: 3

Time: August, 2025 - dates will be updated

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 30

Deadline: TBA

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.


Introduction to Exoskeleton Design and Evaluation (2025)

Welcome to Introduction to Exoskeleton Design and Evaluation

Description: 

There is an increase in the popularity of exoskeletons worldwide, demonstrating the relevance of creating assistive technologies for daily life, ergonomics, and rehabilitation among others. Moreover, the research field related to exoskeletons has grown in the last decade, increasing the demand for appropriate instruction of graduate students that work on the topic. Therefore, this PhD course targets researchers that either design exoskeletons or test current exoskeleton technologies.

In this PhD course, we will firstly establish the basics on the ergonomic interactions that define the need for mechanical assistance on shoulder, back and lower limbs. The course then evolves to introduce the need for specific exoskeleton design, covering actuation, sensing and control issues. Finally, the course will introduce different techniques for the evaluation of exoskeleton technologies considering human-machine interaction and its challenges/limitations. Hands-on experience on the use of motion capture and surface electromyography (EMG) as tools for evaluation will be proposed. Moreover, we will introduce and practice the use of computational models as an alternative method to evaluate the effectiveness of exoskeleton assistance.

Prerequisites: 

Basic understanding of mechanics, actuation and control is required. A basic background within Anatomy, human biomechanics are desirable. Moreover, basic skills in signal processing using Matlab or Python are also desired. Students will have an opportunity to install and try biomechanical analysis software on their computers. This requires the Windows operating system.

Learning objectives: 

Form of evaluation:

A final assignment consisting of performing data processing using experimental data recorded during the course should be submitted up to 3 weeks after the course. The analysis can be carried using the experimental data, computer simulations or a combination of both. Further instructions will be announced prior to the course start.

Key literature: 

Preparatory reading materials will be specified depending on the qualification of the enrolled students, to accommodate all necessary knowledge to attend the course.  

Organizer: Anderson S. Oliveira, Associate Professor (Aalborg University), oliveira@mp.aau.dk

Lecturers: 

Anderson S. Oliveira, Associate Professor (Aalborg University)

Shaoping Bai, Professor (Aalborg University)

John Rasmussen, Professor (Aalborg University)

ECTS: 3

Time: 4 - 6 June 2025

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: TBA

Deadline: 14 May 2025

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.


Perspectives of Industry 4.0 and Smart production (2025)

Welcome to Perspectives of Industry 40 and Smart production

Description: 

In this course, we will discuss the perspectives and contents of Industry 4.0 and smart production.

The course is divided into five themes:

  • Theme 1: The Smart production vision
    • Background
    • History
    • Aims and Objectives
  • Theme 2: Smart production technology
    • Introduction to the family of technologies
    • Technology evaluation
  • Theme 3: Integrated solutions
    • The new role and responsibility of suppliers (system and goods suppliers), benefits and drawbacks of novel supply models, implications for new business models
  • Theme 4: Human factors
    • Competences, culture
    • Learning, Training and Assistance in Industry 4.0 (Methods, Tools, Formats)
  • Theme 5: Interaction, implementation and transformation
    • Survey of methodologies
    • Maturity assessment – AAUs 360

The course will consists of a number of lectures, combined with several workshop activities were the students works on specific cases.

Prerequisites: 

Learning objectives: 

Form of evaluation:

The students will be divided into groups of 2-4 persons. For the evaluation of the course, each student group will have to hand in:

  1. A summary of the technology evaluation from day 1 (powerpoint and drawings)
  2. A small report on the designed factory from day two (a video AND a report (a sketch + max two page)).
  3. Maturity assessment (powerpoint for the managers of Smart Lab) day 3

Key literature: 

Organizer: 

Ole Madsen, professor, om@mp.aau.dk

Lecturers: 

Professor Ulrich Berger, BTU, Germany

Professor Ole Madsen, AAU

Guest speakers from industry/research

ECTS: 3

Time: 6,7,8 October 2025

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 30

Deadline: 15 September 2025

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.


Advanced Natural Language Processing for Industry - Theory and Practice (2025)

Welcome to Advanced Natural Language Processing for Industry - Theory and Practice

Description: 

The aim of this course is to equip PhD students with a comprehensive understanding of cutting-edge natural language processing (NLP) technologies and their application in real-world industrial settings.  Solid understanding of these vital NLP techniques equips business and engineering PhD students with the necessary skills to leverage textual data effectively to solve the real-world problems, e.g., improving customer satisfaction, developing intelligent systems, and making data-driven decisions. This leads to success in today's data-driven and language-driven industrial landscape. The topics covered here are text classification, sentiment analysis, speech recognition, conversational AI and applications of large language model (e.g. ChatGPT).  In addition to theoretical knowledge, this course places a strong emphasis on practical implementation and problem-solving. Participants will engage in hands-on exercises, working with industry-standard tools and libraries. Participants will develop the ability to identify and solve NLP challenges specific to their respective fields. By the end of the course, participants will possess the skills necessary to navigate the rapidly evolving landscape of NLP technologies. They will have the ability to develop and deploy advanced NLP models to tackle complex language-related problems faced by businesses and industries. 


Organizer: Associate Professor, Chen Li, cl@mp.aau.dk 

Lecturers: 

Associate Professor, Chen Li, Department of Materials and Production

Associate Professor, Dimitris Chrysostomou, Department of Materials and Production

Postdoc, David Andres Figueroa Salvador, Department of Materials and Production

Lecturer, Zhuangzhuang Dai, School of Computer Science and Digital Technologies, Aston University

ECTS: 3

Time: 24 - 28 November 2025

Place: Fibigerstræde 14, room 58, Aalborg University, 9220 Aalborg

Deadline: 3 November 2025

Maximal number of participants: 20

Target Students:

The course will target PhD students in the fields of business and engineering from all the Danish universities and ideally from the universities all over the world. Industry professionals are also encouraged to participate. Maximum 20 students will be selected to attend the course.


Books:


Online Materials:


Course Language:

The course will be given in English.


Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.


Advanced Musculoskeletal Modeling with Emphasis on the Thoracic Spine and the Shoulder (2025)

Welcome to Advanced Musculoskeletal Modeling with Emphasis on the Thoracic Spine and the Shoulder (2025)

Description: 

This Ph.D. course introduces techniques for modeling of musculoskeletal systems based on multibody dynamics. Unlike most courses in the field, this one takes a bottom-up approach beginning multibody kinematics and ending with analysis of complex and anatomically realistic models. 

The first day of the course contains a general introduction to musculoskeletal modeling, but participants must be prepared to study the subject in preparation for the course.

The remainder focuses on advanced topics on the forefront of research.

The participants must install the AnyBody Modeling System and familiarize themselves with the system prior to the course. Software licenses will be provided.

The course contents are the following:

1.       Monday: Introduction to musculoskeletal modeling (MSA)

  • Kinematics
  • Kinetics
  • The AnyBody Modeling System

2.       Tuesday: Model structure and AMMR (JR)

  • Introduction to the model repository and ecosystem
  • Model parts and structure
  • Scaling and morphing
  • Adding and removing body parts
  • How things are connected

3.       Wednesday: The thoracic spine model (JR)

  • Anatomy and biomechanics of the spine and thorax including breathing
  • Review of thorax models
  • The role of kinematic determinacy
  • The current thorax model and the averaging measure
  • Use of the thorax model for breathing and scoliosis models

4.       Thursday: Modeling of shoulder biomechanics (MdZ)

  • Anatomy and biomechanics of the shoulder
  • The shoulder model in AMMR
  • Review of research based on computational shoulder models.
  • The shoulder rhythm
  • Modeling stability, instability, rotator cuff deficiency and impingement

5.       Friday: Exercises and assignment (MSA)

  • Modeling workshop: develop your own model of the shoulder or thoracic spine
  • Introduction of assignment


Learning objectives: 

Key literature: TBA

Organizer: Professor John Rasmussen, email: jr@mp.aau.dk

Lecturers: John Rasmussen, Mark de Zee, Michael Skipper Andersen

ECTS: 4.0

Time: 28 April - 2 May 2025

Place: Aalborg University, Department of Materials and Production, Fibigerstræde 16, 9220 Aalborg Ø
OBS: The course will run in a hybrid format with teachers and students with physical presence in Fibigerstræde 16 and an option to follow the course remotely via the Teams platform.

Zip code: 9220

City: Aalborg

Maximal number of participants: 30

Each participant must bring a reasonably modern Windows laptop on which software can be installed.



Deadline: 7 April 2025

Price: 

  • For students with physical presence, 500 DKK will be requested for refreshments during the course.
  • For students from industry, we charge DKK 4000 for participation.

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.