Research Associate for the Project “Relationships and Academic Belonging in HighEd (ReAction)” [...]

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue further academic qualifications outside of their work responsibilities.

Project Overview

The project "Relationships and Academic Belonging in Higher Education" aims to strengthen the quality of relationships between teaching personnel and students as well as academic belonging. Research shows that both have an effect on academic success, the development of interests and skills, intellectual and social engagement, and participation and collaboration in teaching. The project takes up this finding and, in view of existing ecological and technological challenges, expands the interpersonal network of relationships to include interdisciplinary and international relationships, the relationship to oneself, and the human-machine relationship. Together, these form the basis for four sets of measures: academic mentoring, peer tutoring, cooperative teaching design, and experimental curriculum development. Four faculties (humanities, mathematics, computer science and natural sciences, education, and business administration) and two central institutions (Hub of Computing and Data Science and Hamburg Center for University Teaching and Learning) are involved in the design, implementation, and transfer. Together with the university management, they are working towards structurally anchoring the planned interventions in the teaching architecture – including the necessary legal adjustments. If successful, the project will promote the university's joint commitment to shaping a responsible future.

Work Package: Exploratory support through AI

• Sustainable and data protection-compliant design of AI solutions
  • Technical design
  • Conceptual integration into architecture
• Prototypical Implementation Of AI Solutions
  • Implementation
  • Systematic research software engineering
• Analysis of quantitative data for accompanying research

Your profile

A university degree in a relevant field.

• relevant academic university degree (Master of Science or equivalent), in computer science, in particular software engineering, NLP, applied AI
• experience in one or more of the following areas:
  • modelling of data and data management
  • linguistic applications of artificial intelligence
  • multimodal data collection and processing
  • retrieval augmented generation architectures
  • web architectures
  • data visualization
• organization and management of software development
• very good command of written and spoken English and German
• strong social and communication skills, initiative, motivation, high sense of responsibility, ability to work in a team, and very good organizational skills
• interdisciplinary work

We offer

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.