Research Assistant

Christian Peukert; Vaud; On-site; CHF 34,440 - 44,083; Part time

Benefits offered by this job

Multicultural environment

Professional training opportunities

Job summary

The University of Lausanne (UNIL) invites applications for a Student assistant in Data Science. You will join the Department of Strategy in HEC Lausanne to support research on digital music, copyright, and ML applications, with a 3-month renewable contract and 20-40% activity.

Ideal candidates are Master students in DS/CS/Analytics, with web scraping, databases and DS tools (R, Python, SQL, MongoDB), excellent English, and a meticulous work style.

Qualifications

• Master student in DS/CS/Analytics with strong quantitative skills.
• Experience in web scraping, databases and DS tools (R/Python/SQL/MongoDB).
• Very good English skills; precise and diligent.

Responsibilities

• Assist with collection, coding, organizing and analyzing quantitative data.
• Contribute to research projects on digital music, digital copyright and ML applications.

Skills

Web scraping

Databases

Data science knowledge

English proficiency

Education

Master student in Data Science / Computer Science / Business Analytics / Information Systems / Economics

Tools

R

Python

SQL

MongoDB

Job description

Open position: Student assistant in Data Science

The University of Lausanne (UNIL) promotes learning, research and living and hosts 14'100 students and nearly 3'800 collaborators, professors, and researchers. Ideally situated along the lake of Geneva, near Lausanne's city center, its campus brings together over 120 nationalities.

At the department of Strategy in the Faculty of Business and Economics (HEC Lausanne), we're seeking to complement our team with student research assistant.

Job Information

Expected start date: As soon as possible
Contract length: 3 months, renewable
Activity rate: 20%-40%
Workplace: Lausanne-Dorigny
Supervisor: Prof. Christian Peukert

Your responsibilities

• Your activities will be dedicated to research assistantship. Specifically, to help with the collection, coding, organization, and analysis of quantitative data.

We are looking for one candidate with the following qualifications:

• Master student, with a profile oriented to Data Science, Computer Science, Business Analytics, Information Systems or Economics
• Experience in web scraping, databases and data science tools is required (e.g. R, Python, SQL, MongoDB)
• Very good skills in English
• The candidate must be serious, precise, and diligent

You will work on exciting and rewarding research projects related to digital music, digital copyright, the applications of machine learning in organizations, and more. We offer a nice working place in a multicultural, diversified and dynamic academic environment, opportunities for professional training. Possibilities of continuous training, a lot of activities and other benefits to discover.

Complementary information

Seeking to promote an equitable representation of men and women among its staff, the University encourages applications from women.