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46177Open Positions

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Student Research Assistant (m/f/d) for the Climate Economics and Policy research department

Leibniz Association
Found 4 weeks ago
Location
Berlin, Germany
Duration (Months)
12 Months
Time
Part-time
Work Mode
Hybrid
Salary
14,59 € (with Bachelor's degree), 13,98 € (without Bachelor's degree) per hour
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • computer science
  • open-source projects
  • digital engineering
  • data science
  • software design
  • data processing pipelines
  • REST-based systems
  • web-based front-end development
  • typescript
  • vuejs
  • webGL
  • relational databases
  • PostgreSQL
  • information retrieval
  • data integration
  • machine learning/AI
  • LLMs
  • knowledge graphs
  • vector databases
  • deepset haystack for RAG
  • solr
  • postgres
  • vector stores
  • graph databases
  • huggingface
  • clustering
  • topic models
  • classification
  • entity extraction and linking
  • high-performance compute cluster
  • high-end GPUs
  • programming experience

Soft Skills

  • ability to work independently
  • own initiative
  • methodical and systematic approach
  • structured and goal-oriented thinking
  • capacity to familiarise yourself quickly with new topics
  • creativity
  • openness to new approaches
  • reliability
  • engagement
  • teamwork
  • high level of motivation

Job Description

The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research. The Climate Economics and Policy research department, located at EUREF Campus in Berlin-Schöneberg, is offering an exciting opportunity to be part of the Evidence for Climate Solutions working group. We are currently looking for a Student Research Assistant (m/f/d) (Position number: 06-2026 SHK PATHFINDER) to support the PATHFINDER 2 project, among others, starting on 01.05.2026 or as soon as possible. The position is funded for initially 1 year, with the possibility of extension. The remuneration is determined according to the guidelines of the TdL. The current hourly rate for a student assistant with a Bachelor's degree is 14,59 € (without a Bachelor's degree 13,98 €). This is a part-time position with a working time of 10–20 hours per week. Key responsibilities: * Develop new features for our annotation platform and other tools * support researchers that use our platform (analysis or project on-boarding) * develop and maintain ‘living’ systematic maps (automatically fetch and classify new publications and integrate into our databases) * integrate living synthesis pipelines into human-in-the-loop processes (e.g. Cochrane crowd or NACSOS) * evaluate and develop automation tools for information extraction * help us to unlock multi-lingual evidence synthesis * improve our interactive climateliterature.org platform * enhance our local database snapshot of OpenAlex with >480M records * drive your own ideas that accelerate the evidence synthesis process

Requirements

  • background in computer science, open-source projects, digital engineering, data science or related fields
  • good software design skills and experience in building and maintaining data processing pipelines and REST-based systems
  • web-based front-end development (esp. typescript, vuejs, webGL)
  • experience (theory & practice) with relational databases (esp. PostgreSQL)
  • strong interest (ideally experience) in information retrieval, data integration, machine learning/AI, LLMs, knowledge graphs
  • excited to use vector databases, e.g. integrating deepset haystack for RAG
  • interested in experimenting with solr, postgres, vector stores, graph databases, knowledge graphs, huggingface
  • interest in data science, clustering, topic models, classification, entity extraction and linking, high-performance compute cluster with high-end GPUs
  • ability to work independently and on your own initiative
  • methodical and systematic approach and structured and goal-oriented thinking
  • capacity to familiarise yourself quickly with new topics
  • creativity and openness to new approaches
  • high level of competence in oral and written German and English
  • reliability, engagement, teamwork, and a high level of motivation

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • German
  • English

Nice to Haves

  • strong interest (ideally experience) in information retrieval, data integration, machine learning/AI, LLMs, knowledge graphs
  • excited to use vector databases, e.g. integrating deepset haystack for RAG
  • interested in experimenting with solr, postgres, vector stores, graph databases, knowledge graphs, huggingface
  • interest in data science, clustering, topic models, classification, entity extraction and linking, high-performance compute cluster with high-end GPUs
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