Administration of HR software (ArgeData and Personio), especially time tracking control and ressource planning
Contract management
Interface to payroll accounting and other units
Responsible for workplace health promotion measures
Implementation of external employer branding measures
YOUR PROFILE
Completed vocational education or ongoing studies with a focus on HR
Several years of experience in project management, preferably with a focus on HR and/or recruiting solutions
Experience with SOP and/or process development and implementation
Good MS Office skills
Excellent written and spoken German and English
Open personality with strong communication and teamwork skills
Reliability and ability to work independently
Attention to detail, accuracy, and consistency
Receptive to constructive feedback and opportunities for continued professional growth
Respect and appreciation for diversity in all of its dimensions and readiness to support all members of our research community equitably regardless of such
WE OFFER
Are you able to work independently, flexibly, and under pressure? Then we offer you a diverse position in a dynamic, internationally oriented, and open working environment. Minimum salary: € 3,600 gross/month (for 40 hours/week; pro rata for part-time). Overpayment is possible depending on education, qualifications, and experience.
APPLICATION
Please upload your application material on this job platform only.
We will begin evaluating applications immediately, and the announcement will remain open until the position is filled. CSH is committed to equal opportunity for all applicants. Hiring decisions are based on job requirements, qualifications, merit, and organizational needs. Priority will be given to minority and those committed to promoting inclusion, equity, and improving scientific processes.
We process your data in accordance with legal requirements (https://www.csh.ac.at/data-protection/).
About us
The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines – economics, medicine, ecology, and the social sciences – as a basis for actionable solutions for a better world. Established in 2015, we have grown to over 70 researchers, driven by the increasing demand to gain a genuine understanding of the networks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today’s and tomorrow’s challenges.
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