Research Associate in Data Science
vor 1 Monat
Research Associate in Data Science (Natural Language Processing) - 28 Subsection 1 HmbHG
- InstitutionFaculty of Business Administration (Hamburg Business School), Professorship for Data Science
Salary levelEGR. 13 TV-L
Start dateas soon as possible, the initial fixed term is three years. (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline08.02.2024
Scope of workfull-time position suitable for part-time**Responsibilities**:
Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work.
The position is located at the professorship for data science, which focuses on the computational processing of unstructured data, mainly text. The goal is to conduct holistic research in artificial intelligence: while most research in natural language processing and artificial intelligence focuses on obtaining state-of-the-art results on established benchmark data sets only, we seek to couple research on improving the effectiveness of our systems with the consideration of ethical aspects. That is, we aim to develop effective but also environmentally sustainable, fair, and inclusive solutions. The employee will have teaching duties (4 times 45 minutes teaching per week during the semester [=4 LVS]), which may, for instance, include exercises, seminars, and student thesis supervision. Additionally, the employee is highly encouraged to conduct a Ph.D. covering fundamental research in natural language processing and artificial intelligence with a focus on one or multiple of the following topics:
- conversational Artificial Intelligence
- computational Argumentation
- ethical Artificial Intelligence (Fairness, Sustainability, Inclusion, etc.)
- knowledge Integration
- multimodal AI
Our newly founded research group is dynamic, ambitious, and nationally as well as internationally very well connected. Diversity and the support of individuals identifying as members of marginalized groups are important to us.
**Profile**:
A university degree in a relevant field.
- master’s degree (or similar) in computer science, computational linguistics, linguistics, or another relevant field (e.g., information systems, data science, etc.)
- experience with Python programming
- very good proficiency of the English language
- interest and joy in seeking creative solutions
- experience in machine learning and/or natural language processing is a plus
- a relevant publication record is a plus
We offer
- Reliable remuneration based on wage agreements
- Continuing education opportunities
- University pensions
- Attractive location
- Flexible working hours
- Work-life balance opportunities
- Health management
- 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” 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.
Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Instructions for applying
Contact
Prof. Dr. Anne Lauscher
+49 40 42838-7967
Pauline Perez
+49 40 42838-6409
Reference number
- 32Location
Von-Melle-Park 5
20146 Hamburg
Application deadline
- 08.02.2024- cover letter
- CV
- copies of degree certificate(s)
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