Postdoctoral fellowship in Industrial engineering with a focus on data science in advanced production

Updated: about 2 months ago
Deadline: 29 Feb 2024

Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the ability to create change that makes an impact. All that's needed is a place where ideas have the space to meet and grow. That's what we've created – and you are invited.

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The Faculty of Technology strives to ensure that Linnaeus University's vision permeates all activities, with a focus on the keywords: Attractive knowledge environment, Excellent research, social drive, and Global values. The Faculty of Technology has broad operations spanning ten different departments through which Linnaeus University provides education and conducts research.

The Department of Mechanical Engineering is part of the knowledge environment of advanced materials and is also involved in the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA), which is one of Linnaeus University's leading research environments. The department conducts research in the areas of applied mechanics, maintenance systems, quality systems, and production systems. The research is carried out in close collaboration with other departments and the industry. The department offers engineering programs in mechanical engineering and industrial engineering at the undergraduate level and a master’s program in simulation-driven product development at the advanced level. The department is in a phase of expansion.

We are looking for a postdoctoral fellowship to contribute to a pioneering ERDF (European Regional Development Fund) project focused on the automation and digitalization of manufacturing.

Subject area for the position: Mechanical engineering
Location until further notice: Växjö
Terms and hours: 100% position for two years, with the possibility of a one-year extension.
Starting date: Starting date as agreed upon.

Job description
The postdoctoral position is part of the Smart Dat project (https://lnu.se/en/research/research-projects/project-smart-dat/ ), focused on supporting small and medium-sized companies (SMEs) in the manufacturing sector in their transition towards more automated and digitalized processes. As a postdoctoral you will be part of a vibrant research team aiming to revolutionize the manufacturing domain through cutting-edge technology and innovation. In this project we aim to enhance automation and digitalization for SMEs in the manufacturing sector within the Linnaeus region. The project’s objectives are to strengthen innovation, provide increased access to applied research, and thereby boost productivity and competitiveness among SMEs.

The project focuses on knowledge enhancement and promotes technology adoption in an existing demonstration facility. By facilitating long-term investments, it prepares SMEs to effectively address future challenges, recognize opportunities in automation and digitization, and navigate global competition and societal shifts.

The domain for this position is industrial engineering, and the focus area is the automation and digitalization of manufacturing. The key responsibilities could include:

  • Conduct applied research in digitalization within the manufacturing sector, with a focus on developing and implementing innovative solutions for SMEs.
  • Collaborate in the design and execution of experiments and projects within the project’s demonstration facility, showcasing the application of new technologies and practices.
  • Perform data analysis, employing advanced analytics and visualization techniques to derive insights from multi-dimensional data, including production metrics and sensor data.
  • Conduct financial analysis, for example, cost-benefit analyses, investment evaluation for automation and digitalization solutions, and related areas, offering SMEs clear, actionable guidance for their investment decisions.
  • Contribute to the development of educational materials and programs aimed at upskilling SME employees in the relevant technological areas.
  • Actively participate in the Smart Dat project team, contributing to internal and external networking, knowledge sharing, and project dissemination activities.
  • Conduct high quality research and publish findings in top conferences and journals, as well as assist in teaching and mentorship when needed.

Qualifications
In accordance with the postdoctoral agreement, applicants who were awarded their degree no more than three years prior to the last application date for the present position should be considered first.

An applicant must not previously have been employed as a postdoc for more than a year within the same or a related subject area at Linnaeus University.

The following are the qualifications for this vacancy:

  • A Ph.D. in a relevant field such as Industrial Engineering, Mechanical Engineering, Data Science, Computer Science, or a foreign degree deemed equivalent to a doctoral degree in the aforementioned areas.

Assessment criteria
Good knowledge of English is needed, and knowledge of Swedish is desirable.

You should have the following:

  • Proven experience in data science and digitalization processes with high proficiency in programming e.g., Python, Java, C/C++.
  • Strong analytical and problem-solving skills, with the ability to handle complex, multi-dimensional data.
  • Demonstrated experience in research within computer science/machine learning, as well as, in conducting cost-benefit analysis or similar economic assessments.

It is meritorious if you have a strong understanding of both quantitative and qualitative research methods. Experience in teaching and mentorship, along with the ability to convey complex technical concepts to a diverse audience, is also advantageous.

When the university employs, the choice should fall on those applicants who, based on a qualitative holistic assessment of competence and skills, are considered most likely to successfully perform and develop relevant tasks and contribute to successful development of the organization.

Welcome with your application no later than February 29, 2024.

Contact
Assistant Professor/Senior Lecturer: Hatem Algabroun, [email protected]
Head of department: Lars Håkansson, [email protected]
HR partner: Linda Wincent, [email protected]

Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the "Apply" button at the bottom of the ad. Your application should be designed according to the Template for application which can be found in the Guide to Appointment procedures under important documents below the ad. The credentials you invoke must be verified with certification and they must be attached digitally in your application. Other documents, including various types of scientific works, must be submitted digitally along with the application. The application and other documents to be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.


URL to this page
https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=7798&rmlang=UK



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