Graduate Assistant in Machine learning for data management

  • Unil
  • Lausanne, VD, Switzerland
  • 02/06/2022
Full time Machine Learning Business Intelligence Data Management Biostatistics DevOps

Job Description

Job details

Job Type

Full Job Description


UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.


To complete the team in the Department of Information Systems (DESI), the Faculty of Business and Economics (HEC) is looking for a Graduate Assistant in Machine Learning for Data Management.
The successfull candidate is expected to enroll in the doctoral school in information systems at HEC Lausanne and will be supervised by Prof. Christine Legner.
HEC Lausanne is one of the leading European business schools. The school received the AMBA and EQUIS accreditations for the overall quality of its programs, research, and teaching. It is situated at the shores of the lake of Geneva in one of the most beautiful places in Switzerland. An excellent public transport network links the university campus in just a few minutes to Lausanne, the capital of Vaud, noted for its varied cultural activities.

Job information

Expected start date in position : Summer/Autumn 2022
Contract length : 1 year, renewable 2 x 2 years, maximum 5 years
Activity rate : 100%
Workplace : Lausanne, Campus of Dorigny

Your responsibilities

You will identify, develop and test machine learning use cases that improve data quality. You will be employed with HEC Lausanne and work in the Competence Center Corporate Data Quality (CC CDQ), an industry-funded research consortium. In your research, you will enhance the current state-of-the-art of data management in close collaboration with one of the worldwide leading sporting goods companies. Your focus will be on building and testing ML use cases that innovate the way data is managed today, improving data quality and ultimately leading to better business decisions.
At least 50% of the assistant's work time will be dedicated to the completion of the Doctoral thesis.

Your qualifications

  • Master’s degree in Information Systems, Computer Science, Data Science/Statistics or related field
  • Willingness to do research and strong interest in one or more of the following topics: ML, machine learning, data science, advanced analytics, data curation, data management, business information systems
  • Relevant internships and/or practical experience (e.g. as a developer or consultant)
  • Programming skills (Python, R)
  • Excellent analytical and communication skills
  • Good writing skills and fluency in English; German and/or French are a plus

What the position offers you

We offer a nice working place in a multicultural, diverse and dynamic academic environment. Opportunities for professional training, a lot of activities and other benefits to discover.

Contact for further information

For any inquiry about the position, please contact Prof. Christine Legner
+41 21 692 3432.
More information :
  • Competence Center Corporate Data Quality
  • HEC Lausanne
  • Prof. Dr. Christine Legner

Your application

Deadline : Open until we find a candidate
Please submit your CV, university transcripts (bachelor and master level) and an electronic version of a recent research project (e.g. master thesis, scientific publication).
Only applications through this website will be taken into account.
We thank you for your understanding.

Additional information

UNIL is committed to equal opportunities and diversity.
UNIL supports early career researchers.