Instats Internship Opportunities
University of Adelaide College
Instats is a global leader in offering research methods workshops across the social, health/medical, and life sciences. Instats invites applications from ambitious PhD candidates in the social, health/medical, and life sciences for an enriching internship opportunity. Internships at Instats are centered around research-driven methodologies, and helping Instats deliver cutting-edge research methods workshops for the research communities that Instats serves.
Successful applicants will receive a supplementary stipend of $10,000 for 3 calendar months of part-time equivalent to support them through the placement. (Please note that this stipend will be paid in lieu of a University of Adelaide Research Internship scholarship.)
Responsibilities:
- Identifying cutting-edge methods in your research field that would be appropriate for an Instats workshop.
- Liaising with and securing involvement from the world's leading research methodologists to deliver these workshops on the Instats platform.
- Assisting in the curation and development of content for the Instats platform.
- Contributing to the quality and reach of Instats workshops.
Benefits:
- Gain access to the full catalogue of Instats training for free, providing ample opportunity for professional development during and after the internship.
- Network with the leading experts in your field, opening doors for future collaborations and professional networking (and academic jobs).
- Gain experience in content curation and analysis of advanced research methodologies.
- Remote working for flexible and efficient work arrangements.
Ideal Candidate Profile:
- Within the first 18 calendar months of their PhD
- Holds a keen interest in research methods.
- Possesses excellent communication and presentation skills.
- An ability to work independently and as part of a team. -Has strong analytical and critical thinking skills.
- Previous experience in research methodology is desirable but not mandatory.
- Where applicable, proficiency in statistical software and programming environments such as R, Stata, SPSS, Python, etc., would be useful.