Stibo Systems Industrial PhD Research position, Schema Marching, Data Traceability and Machine Learning

In collaboration with DTU Compute, Stibo Systems is pleased to offer an exciting opportunity as industrial PhD student. The position is a three-year study under the industrial research program of Innovation Fund Denmark with the title “Automation of data exchange and data traceability to support ESG reporting standards and regulatory compliance”. Upon successful completion of the PhD study the student will be awarded the PhD degree from Technical University of Denmark (DTU).



The aim of the project is to develop novel models, methods, and algorithms for automated open-world system integration where actors use data models that are not a priory known and change over time.



An open-world information supply chain consists of data providers and data consumers with inconsistent and seemingly incompatible data models – yet they still must be able to exchange data. Further, as reporting on sustainability and environmental footprint by actors in supply chains becomes legal requirements, businesses must ensure consistency of data across the entire information supply chain. Hence, the automated exchange of this data, supported through advanced schema matching models and algorithms can become the pivotal point in the success of these businesses, let alone compliance with regulatory demands.



The project’s success criteria are

• Establishing mathematical models and algorithms to enable automated integration of data to and from external actors whose data models change over time
• Methods and tooling to enable sustainability and environmental data tracking across the information supply chain for every actor in the information supply chain
• Development of a prototype of a self-integrating data platform that supports seamless exchange of trustworthy data even when data from external actors change over time.

The employment is with Stibo Systems, and the placement of the position is tightly integrated with the Product Management, Research & Development, and Innovation Teams at the Stibo Systems Head Quarter in Højbjerg, Denmark, where the company main supervisor is also located and where we currently have another industrial PhD student researching Recommender Systems for multidomain MDM. The student will be enrolled at the DTU Compute PhD School. The student will work both at Stibo Systems and at DTU and is also encouraged to spend time at an internationally high-ranked institution abroad.



A potential candidate for this position holds these qualifications and specific competencies:

• Master’s degree within Computer Science with a strong emphasis on software development and with a specialization in Databases, Formal Methods, Machine Learning and/or Artificial Intelligence
• Grades according to Innovation Fund Denmark requirements (link here , see section 2.3), in summary
  • Weighted average on the 7-step scale of all bachelors and master grades should be 8.2 (alternatively 9.5 on the 7-step scale for master alone)
  • Minimum 10 for the master thesis
• Strong analytical skills
• Passionate about applied science and technology
• Curious, innovative and solution oriented
• Experienced in computer programming
• Able to work independently and in a team
• Fluent in English; speaking and writing, minimum corresponding to “Level B” from Danish upper secondary school (“gymnasium”).

With your application, you must submit the following documents:

• A motivated application (max one page)
• Curriculum vitae
• 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.     

Please apply by following this link: Find job (jobnet.dk)

For more information about the Industrial PhD Research Program, visit DTU Compute PhD School and Innovation Fund Denmark. For more information about the position, please contact supervisor, Jesper Grode, Director Product Strategy, PhD (jnrg@stibosystems.com), Stibo Systems, or the university supervisor Michael Reichardt Hansen, Associate Professor, Department of Applied Mathematics and Computer Science (mire@dtu.dk).



All information must be provided in English. Application deadline is November 1st, 2022.

Stibo Systems

Stibo Systems is a global company with a Nordic heritage. We help companies transform into digital leaders through market-leading multidomain master data management that delivers transparency. Through our solution, large brands (our customers) connect data across their products, customers, stores, employees, suppliers, digital assets, and much, much more.



We have been around for a while but still have that scale-up feel, even with offices across the globe – from Atlanta to Tokyo. Our people are key to our success and together we continue to create a diverse, unique and exciting work environment.



DTU Compute

DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard - producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. 



Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.



Please note, that information submitted as part of the application process will be shared with DTU Compute PhD School and the university supervisor.