Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)

EBS Universität für Wirtschaft und Recht gGmbH; Oestrich-Winkel; On-site; EUR 42,000 - 56,000; Full time

Job summary

EBS Business School seeks a Research Assistant for the Chair of Finance (Prof. Raša Karapandža) starting Sep 1, 2026. The role emphasizes quantitative data analysis, empirical research, and integrating AI and digital tech into projects across agricultural fields.

You will collaborate with researchers, prepare materials, and ensure meticulous documentation while supporting bachelor’s and master’s theses and contributing to publications.

Qualifications

• Master's degree in Economics, Mathematics, Computer Science, or related quantitative field.
• Strong analytical and statistical skills for empirical research.
• Experience with MATLAB, R, or Stata.
• Knowledge of randomized controlled trials and survey methods.

Responsibilities

• Conduct quantitative data analysis and support empirical research projects.
• Apply AI, blockchain, and digital technologies to research, especially in agricultural fields.
• Collaborate with researchers and document research findings accurately.
• Support preparation and supervision of bachelor’s and master’s theses.
• Contribute to publications and academic collaborations.

Skills

Quantitative analysis

Empirical research

Statistical thinking

Education

Master's degree in Economics, Mathematics, or Computer Science

Tools

MATLAB

R

Stata

Job description

Abteilungs und Einleitungstext

We are looking for a research assistant (m/f/d) for the Chair of Finance (Prof. Raša Karapandža Ph.D.) at EBS Business School, starting September 1st, 2026.

Wir bieten

• A “we, not me” culture - a highly collaborative, team-oriented work atmosphere with open and honest communication
• A “can do” spirit - we are looking for people who want to make a difference
• Exciting research projects for doctoral studies and intensive exchange with the supervising professors
• Close integration of theory and practice

Ihre Aufgabe

• Conduct quantitative data analysis, support empirical research projects, and manage, clean, and analyze survey and field data using statistical software
• Apply artificial intelligence (AI), blockchain, and digital technologies to support innovative research projects, particularly in agricultural and related fields
• Collaborate with researchers, prepare research materials, and ensure accurate documentation of research findings
• Support the preparation, supervision, and delivery of courses, tutorials, and guidance for bachelor’s and master’s theses
• Contribute to scientific and practice-oriented publications, academic collaborations, and the communication of research results

Ihr Profil

• A strong Master’s degree (good to very good) in Economics, Mathematics, Computer Science, or a closely related quantitative discipline, demonstrating solid analytical, statistical, and methodological expertise
• Strong quantitative and analytical skills with experience in empirical research and statistical analysis
• Proficiency in statistical software such as MATLAB, R, Stata, or similar programming tools
• Experience with randomized controlled trials, field survey data, and research methods in development economics
• Highly motivated, responsible, and independent researcher with the ability to work effectively in an academic environment

For inquiries, please contact Prof. Raša Karapandža, Ph.D. | [e-mail] | Telefon: [phone] - 244

Diversity-Hinweis (Schwerbehinderten-Hinweis)

We seek the best candidates. In doing so, we value personality, talent, determination, and character. We expressly emphasize that all individuals - regardless of gender, nationality, ethnic or social background, religion/ideology, disability, age, or sexual orientation - are equally welcome. Applicants with disabilities will be given preferential consideration if equally qualified.

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