Postdoctoral Associate - Open Science, University Libraries-2014788
We invite applications from a technically-skilled professional with experience in STEM research and teaching computational tools who is passionate about building an open and collaborative research community and using data science for social good. Candidates for the Postdoctoral Associate in Open Science at Carnegie Mellon University Libraries should have a strong understanding of academic research and the research life cycle and be highly motivated to develop collaborative relationships both within the University Libraries and across campus. The postdoc role is one that will contribute to the Research Data Services team and the Open Science & Data Collaborations Program at Carnegie Mellon and to provide support and training in research data management and reproducible research. We are especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching, and service, and have a demonstrated record in working with international and underrepresented populations.
Carnegie Mellon University (CMU) is home to world renowned faculty leading the way in their fields with state of the art, interdisciplinary research and an emphasis on training the next generation of innovators. The libraries, as highlighted in university's strategic plans, aspires to become a central hub of research support services and infrastructure. The University Libraries' Open Science & Data Collaborations Program is committed to supporting collaborativ e, transparent, openly accessible, and reproducible research across all disciplines at CMU . We recognize that having well documented and automated research workflows, code, and datasets is essential to making research more interdisciplinary, efficient, and reusable as well as allowing researchers to leverage data science techniques. This program provides services, infrastructure, digital tools, training opportunities, special events, and a team of experts that support and advocate for open research and interdisciplinary collaborations.
Under the leadership of the Program Director for Open Science & Research Data Collaborations, this position will:
As part of the Open Science & Data Collaborations Program and the Research Data Services team, contribute to the mission of the program and provide research support and expert consultations to campus on topics related to research data and reproducibility;
Assist in the support of research tools such as Open Science Framework, Overleaf, Figshare, ORCID, LabArchives, Jupyter, R, Python, and GitHub;
Teach lessons and workshops on research best practices, scientific programming, and computational tools for reproducible research. Develop lessons, course materials, hands-on examples and activities for interactive workshops;
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Job Function: Research
Primary Location: United States-Pennsylvania-Pittsburgh
Time Type: Full Time
Minimum Education Level: Doctorate or equivalent
Internal Number: 2014788
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.