We invite applications for a

PhD position (100%) at HEC Lausanne
in the Competence Center Corporate Data Quality (CDQ)

Data sharing platforms and open/external data services

The PhD position will contribute to the design, implementation and evaluation of a Data App Store that supports businesses in the discovery, integration and use of external data. The PhD candidate will be employed at HEC Lausanne and work in the Competence Center Corporate Data Quality (CC CDQ – cc-cdq.ch). CC CDQ is an industry-funded research consortium that is researching, developing and testing solutions that advance data management in digital and data-driven enterprises. CC CDQ is being conducted between the Universities of Lausanne and St. Gallen and 20 renowned European companies (Bosch, Merck, Nestlé, PMI, SBB, Siemens etc.).

Desired qualifications:

• Master’s degree in Information Systems, Computer Science or related field
• Strong interest in one or more of the following topics: data catalogs, data sharing platforms, linked and open data, semantic Web and ontologies
• Professional experience (e.g. as consultant) and/or relevant internships
• Excellent analytical and communication skills
• Good writing skills and fluency in English; German and/or French are a plus

Employment rate is 100% with a competitive salary and maximum contract  duration isfive years. Starting date is negotiable from October 2018 until the position is filled.
The PhD candidate is expected to enrol in the doctoral school in information systems at HEC Lausanne and will be supervised by Prof. Christine Legner.

Job announcement: UNIL-CDQ-PhD_201809_cle.pdf

Informal inquiries and how to apply:
For any inquiry about the PhD positions, please contact Prof. Christine Legner:

christine.legner@unil.ch or +41 21 692 3432.

Related information:
Competence Center CDQ www.cc-cdq.ch
HEC Lausanne, hec.unil.ch
Prof. Christine Legner, www.unil.ch/bisa

We invite applications for a

PhD position (100%) at HEC Lausanne
in the Competence Center Corporate Data Quality (CDQ)

Linked and open data, enterprise information modeling

The PhD position will contribute to the design, implementation and evaluation of a Data App Store for the discovery, integration and use of open data in business environments. The PhD candidate will be employed at HEC Lausanne and work in the Competence Center Corporate Data Quality (CC CDQ – cc-cdq.ch). CC CDQ is an industry-funded research consortium that is researching, developing and testing solutions that advance data management in digital and data-driven enterprises. CC CDQ is being conducted between the Universities of Lausanne and St. Gallen and 20 renowned European companies (ABB, Bosch, Nestlé, Otto, SBB, Siemens etc.).

Desired qualifications:

• Master’s degree in Information Systems, Computer Science or related field
• Strong interest in one or more of the following topics: data modeling and architecture, linked and open data, semantic Web and ontologies, enterprise information management
• Relevant internships and/or practical experience (e.g. as consultant)
• Excellent analytical and communication skills
• Good writing skills and fluency in English; German and/or French are a plus

Informal inquiries and how to apply:
For any inquiry about the PhD positions, please contact Prof. Christine Legner:

christine.legner@unil.ch or +41 21 692 3432.

Employment rate is 100% with a competitive salary and maximum contract duration is five years. Starting date is negotiable between January and March 2018.

The PhD candidate is expected to enrol in the doctoral school in information systems at HEC Lausanne and will be supervised by Prof. Christine Legner.

Job announcement: UNIL – CDQ-PhD_201710

Related information:
Competence Center CDQ www.cc-cdq.ch
HEC Lausanne, hec.unil.ch
Prof. Christine Legner, www.unil.ch/bisa

The partnership between HEC Lausanne, CDQ AG, Nestlé and Swisscom on the project “Open Data to Business – Data App Store for the discovery, integration and use of open data in business environments” has been granted a research & development fund by the Commission of Technology and Innovation (CTI) of the Swiss Confederation. This innovative R&D project starts in January 2018 and will be finalized in December 2019.

For more information about the project, please check out the project description or contact Andreas Lang.

We welcome two new researchers in our team – Andreas Lang and Martin Fadler!

Andreas Lang joined the CC CDQ research team on May 1, 2017. Previously, he worked at the European Research Council of the European Commission in the support to the Scientific Council. Andreas received his M.Sc. in Life Sciences and Technologies at the EPFL and proposed in his Master’s thesis a computational model for explaining the psychological phenomenon of illusory conjunctions. Before, he completed his B.Sc. in Computer Science at the University of Geneva with a Bachelor’s thesis on Neuro Evolutionary Meta-Optimization.

Andreas is currently working in the CTI project “Open Data to Business – Data App Store for the discovery, integration and use of open data in business environments”. Its aim is to link heterogeneous open datasets in a knowledge graph in order to increase quality and trust and to unlock the potential of open data for companies.

Martin Fadler started on September 1, 2017 as PhD student in the CC CDQ research team.  Previously, he  worked in a data-driven startup as a Data Scientist where he learned to manage and build data products with advanced analysis methods and technologies. Mr. Fadler received a M.Sc. in ICT Systems and Management from the Technical University of Berlin, Germany, and a B.Sc. in Industrial Engineering from the Technical University of Clausthal, Germany.

In his research, Martin Fadler will focus on data management for Big Data and AI. He also investigates machine learning techniques within the data management lifecycle.

Schaeffler, the German technology company and automotive
supplier, is the winner of the 2016 CDQ Good Practice Award.

The CDQ Good Practice Award was launched in 2013 as a joint initiative of the Competence Center Corporate Data Quality (CC CDQ) and the European Foundation for Quality Management (EFQM) for acknowledging world-class corporate data management initiatives. The international jury, consisting of data management experts from research and practice, ranked Schaeffler’s good practice top. Joining Schaeffler in this year’s final round of the competition were Emmi, the leading milk processing company in Switzerland, presenting their approach
towards an integrated master data management, and Merck, the German healthcare and life science specialist, showcasing their concept of exploiting the benefits of data analytics for data management.

The good practice presented by Schaeffler illustrates how the company systematically evolved its master data management initiative starting in 2009. A self-assessment conducted two years ago revealed that Schaeffler had successfully built up capabilities and raised the level of maturity in all relevant areas of master data management. Aspects still demanding for substantial improvement were successfully tackled by Schaeffler during the past two years. The company has continued to develop its data management strategy further and communicate this strategy across the entire group. Among other things, Schaeffler uses performance indicators to measure and sustainably improve the quality of its data. Furthermore, the company defined clear roles and processes for data maintenance and implemented appropriate data models and metadata models. All these measures combined have led to a reduction in service processing time and to a continuous improvement of data quality (customer master data processing time has been reduced by 60 %, for example). “Schaeffler is pursuing a strategy of profitable growth, based on key success factors such as quality, technology, and innovation. The mission of our master data management department is to support this endeavor by providing data of high quality in order to ensure efficient business processes,” said Markus Rahm.