4.8 KiB
4.8 KiB
Competences — university research assistant
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/5ac65daa-0896-4193-9f0e-8b00746b78a1).
Essential
- apply for research funding (skill/competence)
- apply research ethics and scientific integrity principles in research activities (skill/competence)
- apply scientific methods (skill/competence)
- archive scientific documentation (skill/competence)
- assist scientific research (skill/competence)
- communicate with a non-scientific audience (skill/competence)
- conduct research across disciplines (skill/competence)
- conduct scholarly research (skill/competence)
- demonstrate disciplinary expertise (skill/competence)
- develop professional network with researchers and scientists (skill/competence)
- develop scientific theories (skill/competence)
- discuss research proposals (skill/competence)
- disseminate results to the scientific community (skill/competence)
- draft scientific or academic papers and technical documentation (skill/competence)
- evaluate research activities (skill/competence)
- increase the impact of science on policy and society (skill/competence)
- integrate gender dimension in research (skill/competence)
- interact professionally in research and professional environments (skill/competence)
- manage findable accessible interoperable and reusable data (skill/competence)
- manage intellectual property rights (skill/competence)
- manage open publications (skill/competence)
- manage personal professional development (skill/competence)
- manage research data (skill/competence)
- mentor individuals (skill/competence)
- monitor developments in field of expertise (skill/competence)
- operate open source software (skill/competence)
- perform project management (skill/competence)
- perform scientific research (skill/competence)
- promote open innovation in research (skill/competence)
- promote the participation of citizens in scientific and research activities (skill/competence)
- promote the transfer of knowledge (skill/competence)
- publish academic research (skill/competence)
- research design (knowledge)
- scientific literature (knowledge)
- scientific research methodology (knowledge)
- speak different languages (skill/competence)
- study topics (skill/competence)
- synthesise information (skill/competence)
- think abstractly (skill/competence)
- university procedures (knowledge)
- use data processing techniques (skill/competence)
- write research proposals (skill/competence)
- write scientific publications (skill/competence)
Optional
- analyse experimental laboratory data (skill/competence)
- analyse test data (skill/competence)
- apply blended learning (skill/competence)
- apply statistical analysis techniques (skill/competence)
- apply teaching strategies (skill/competence)
- assist students in their learning (skill/competence)
- assist students with their dissertation (skill/competence)
- calibrate laboratory equipment (skill/competence)
- cognitive computing (knowledge)
- collect samples for analysis (skill/competence)
- computational biology (knowledge)
- computational chemistry (knowledge)
- computational mechanics (knowledge)
- computer simulation (knowledge)
- conduct qualitative research (skill/competence)
- conduct quantitative research (skill/competence)
- consult students on learning content (skill/competence)
- develop scientific research protocols (skill/competence)
- European integration (knowledge)
- execute analytical mathematical calculations (skill/competence)
- geography (knowledge)
- industrial research and development (knowledge)
- mathematical modelling (knowledge)
- multidisciplinary research (knowledge)
- operate scientific measuring equipment (skill/competence)
- participate in scientific colloquia (skill/competence)
- perform laboratory tests (skill/competence)
- prepare lesson content (skill/competence)
- provide assistance to lecturer (skill/competence)
- provide lesson materials (skill/competence)
- quantitative analysis (knowledge)
- record test data (skill/competence)
- report test findings (skill/competence)
- search databases (skill/competence)
- statistics (knowledge)
- stem cells (knowledge)
- supervise practical courses (skill/competence)
- teach in academic or vocational contexts (skill/competence)
Market evidence (job-ad analysis, 27 ads, as of 2026-07-20)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
Hard skills
- data analysis — 48 %
- data collection — 41 %
- literature review — 37 %
- data management — 26 %
- data organization — 22 %