A PhD research assistant in the field of artificial intelligence in education with a focus on analytics dashboards

As of 1 September 2022. Full time. Fixed term until 31 August 2025. Compensation according to EG 13 (collective bargaining agreement for Agreement for Public Service in the State of Hesse (TV-H). Location of position: Frankfurt/ Main. Application by 8 July 2022.

Subject to the final funding approval for the HyTea project, the Educational Technologies unit of the Information Center for Education (IZB) is seeking as of 1 September 2022:

A PhD research assistant in the field of artificial intelligence in education with a focus on analytics dashboards

Full time. Fixed term until 31 August 2025. Compensation according to EG 13 (collective bargaining agreement for Agreement for Public Service in the State of Hesse (TV-H).

The position is located in Frankfurt am Main.

The Model for Hybrid Teaching (HyTea) project addresses the "alignment issue" of AI systems using distance training for presentation skills as an example, and aims to design a multimodal tutorial for training presentation skills such as posture, speech pauses and intonation.

Your tasks

  • Research and coordination tasks within the HyTea research project
  • Scientific analysis and processing of data from learning management systems (e.g., Moodle), assessment systems and ubiquitous tracking devices (e.g., wearables, cameras)
  • Design of feedback and analytics dashboard for a multimodal sensor application for learning
  • Continued development of existing research prototypes for sensor data collection, including the Multimodal Learning Hub, Visual Inspection Tool, and Edutex infrastructure
  • Design-based research using the developed research prototypes
  • Reporting and convening meetings in German and English
  • Presentation of research results at scientific conferences and/or publication in professional journals

Requirements

  • Very good scientific university degree (Master) in computer science or a related discipline
  • Practical experience in software design and computer programming (e.g. JavaScript, Typescript, HTML5, Python, PHP)
  • Knowledge of at least one front-end development stack (e.g., React, Angular.js, Vue.js, Laravel, etc.)
  • Practical experience in data extraction from databases and API development
  • Practical experience with machine learning and data science (in Python or R) is desired
  • Good analytical and statistical skills
  • Good scientific writing and presentation skills
  • Very good knowledge of the German and English language, both written and spoken

We are looking for applicants who are able to quickly familiarize themselves with more advanced areas of work and who are willing to travel, especially for regular planning meetings with partner institutions. We value independent working, personal commitment and excellent communication and teamwork skills.

We offer a broad network in research and practice as well as an experienced team for the realization of the project. The possibility of further scientific qualification is given. For doctoral students, DIPF offers an in-house, interdisciplinary doctoral support program. The "Kita im DIPF" (daycare center at  DIPF) and flexible working hours provide good conditions for a good work-life balance. Employees can purchase a discounted job ticket valid for the entire RMV area.

DIPF promotes the equality of all employees and welcomes applications regardless of ethnic, cultural or social background, age, religion, ideology, disability, gender and sexual identity. Severely disabled persons are given special consideration if they are equally qualified. Applications from women are particularly welcome due to the under-representation in the field of information technology. A reduction of working hours is principally possible, taking the project-specific requirements into account.

For more information about the position, please contact Dr. Daniele Di Mitri at 069-24708-386 or ZGltaXRyaUBkaXBmLmRl. Please send your written application with the usual documents in electronic format and  in a single pdf file, quoting reference no. IZB 5130-22-13 by 8 July 2022 to:

Prof. Dr. Hendrik Drachsler, head of unit Educational Technologies
YmV3ZXJidW5nLWl6YkBkaXBmLmRl
DIPF | Leibniz Institute for Research and Information in Education
Rostocker Straße 6, 60323 Frankfurt am Main