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Paid Internship
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Time Spent
Required Degree
Duration

12Open Positions

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University Assistant Prae-Doc

Amsterdam University of Applied Sciences
Found 1 week ago
Location
Vienna, Austria
Time
Full-time
Work Mode
On-site
Salary
EUR 2,832.10/month gross
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Catalyst synthesis
  • characterization
  • XRD
  • electron microscopy
  • spectroscopy
  • IR
  • XPS
  • physical chemistry

Soft Skills

  • Skillful and responsible in experimental work
  • Very good communicative skills
  • innovative ability
  • Strong team spirit
  • enthusiasm for collaboration
  • Structured, reliable, and independent working style
  • Willingness to engage with new topics and methodologies

Job Description

At the Institute of Materials Chemistry, in the Research Group for Technical Catalysis TU Wien is offering a position as university assistant (prae-doc) limited to expected 4 years for 30 hours/week. Expected start: May 2026.In the research group, we develop and investigate heterogeneous catalysts with a focus on high selectivity and stability for the utilization of CO2 from various exhaust gas streams. The focus is on innovative materials developed by combining sulfides and oxides. Fundamental questions, such as the reaction mechanisms at the surface, shall be investigated.

Requirements

  • Completion of a master or diploma curriculum in one of these fields: (technical) chemistry, materials science, physics, or related
  • Skillful and responsible in experimental work
  • Lab experience in catalysis, materials characterization (e.g., XRD, electron microscopy), spectroscopy (e.g., IR, XPS), and physical chemistry is an advantage
  • Very good skills in English communication and writing (minimum B2 level); German is an advantage
  • Interest in research in the field, as well as supervision and work with students
  • Very good communicative skills and innovative ability
  • Strong team spirit and enthusiasm for collaboration in an international research group
  • Structured, reliable, and independent working style. Willingness to engage with new topics and methodologies

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • German is an advantage
▶Apply Now

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