Wissenschaftliche Mitarbeiterin/mitarbeiter

**I. Tätigkeit**

**Tätigkeitsbereich**:

- Hochschule/Wissenschaft

**Position**:

- Wissenschaftliche Mitarbeiterin/Mitarbeiter

**II. Rahmenbedingungen**

**Arbeitsverhältnis**:

- befristet / Vollzeit

**Tätigkeitsbeginn am**:
**Tätigkeitsdauer bis zum**:
**Vergütung**:

- TV-H EG 13

**Bewerbungsfrist**:

- 07.05.2025

**Region des Arbeitsortes**:

- Hessen

**Arbeitsort**:

- Frankfurt

**III. Berufliches Profil/Voraussetzungen**

**Titel/Akademischer Grad/Berufsabschluss**:

- Good to very good academic degree (Master's)

**Studienfächer/berufliche Qualifikation**:

- computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline

**Berufliche Erfahrungen**:
**Zusatzqualifikationen**:
**Auslandsaufenthalte**:
**Sprachkenntnisse**:

- very good English language skills (spoken & written),Good German language skills (spoken & written) or willingness to acquire these during the course of employment

**Bemerkung**:
**IV. Anzeige**

**Anzeigentext**:
DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its locations in Frankfurt am Main and Berlin, DIPF develops and documents knowledge about education and thus supports science, politics and practice.

The department Information Centre for Education is looking for:
**Two research assistants in the field of AI in education, with a focus on learning analytics**

Full-time, temporary for 2 years, salary according to EG 13 of the collective agreement for the public service of the state of Hesse (TV-H)

The place of employment is Frankfurt am Main. We offer intensive supervision and a wide range of further training opportunities (participation in the DIPF's coordinated doctoral program, colloquia, workshops).

**Your tasks**
- Building and consolidating training data from various projects in school and university contexts
- Coordination and establishment of a pool of student assistants for labeling data and providing training data
- Development and provision of specific AI models for educational contexts
- Participation in conferences, organization of workshops and preparation of presentations and scientific publications
- Opportunity to develop your own scientific question and conduct independent research in the field of AI in education and learning analytics with the option of a doctorate
- Teaching or supervision of students' final theses

**Requirements**:

- Good to very good academic degree (Master's) in computer science, mathematics, data science, computational linguistics, cognitive science or a related discipline
- Sound programming knowledge in Python and TypeScript/JavaScript; experience in other relevant programming languages such as R, Java, C#, Rust or C++ is a great advantage
- First experience in the development of AI models with relevant frameworks such as PyTorch, Huggingface Transformers, llama.cpp, Scikit-learn, Pandas and/or Numpy
- First experience with SQL databases such as PostgreSQL or MS SQL, as well as with text and vector search engines such as Elasticsearch, Solr and/or Quadrant
- First experience in modern web development with relevant frameworks such as Django, FastAPI, React, Vue3 and/or Svelte
- First experience with version management systems such as Git
- Very good English language skills (spoken & written)
- Good German language skills (spoken & written) or willingness to acquire these during the course of employment
- Experience in academic writing and presenting

We expect personal commitment, creativity, personal responsibility and an independent and results-oriented way of working. We expect a high level of social and communication skills as well as great teamwork and cooperation skills and a willingness to work in an interdisciplinary environment.

We offer you a demanding and challenging working environment, the opportunity for further training and participation in an active research community. We also offer you a varied and creative job in an interdisciplinary team with a pleasant working atmosphere and many opportunities to contribute and realize your own innovative ideas. You will have the opportunity to focus on the practical implementation and research of new technologies and possibilities of digitally supported teaching and learning in large and small projects.

Flexible working hours and a daycare center at the DIPF provide good conditions for balancing work and family life. Mobile working within Germany is also possible after consultation with superiors. It is possible to purchase a discounted Jobticket Germany.

Prof. Dr. Hendrik Drachsler, Head of unit Educational Technologies and

Prof. Dr. Daniel Schiffner, Head of unit Educational Computer Science
DIPF | Leibniz Institute for Research and Information in Education
Rostocker Straße 6, 60323 Frankfurt am Main, Germany

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