The Career Development Committee of the Society for Scholarly Publishing (SSP) is inviting applications for the 2019 Annual Fellowship Program. Interested candidates can begin the application process here.
Early-career professionals in the first four years of their employment in the scholarly communications industry and students enrolled in publishing or library and information science programs are eligible to apply. Applicants should send their résumés along with responses to three questions posted on the Fellowship program website.
Why apply? The Fellowship Program offers a wide range of career development, training, and networking opportunities for students and early-career professionals in the scholarly publishing industry. SSP will award up to 12 Fellowships at the Annual Meeting in San Diego, May 29 - May 31, 2019.
The Fellowship provides a year-long program with training opportunities, complimentary SSP membership, registrations for selected SSP events, and travel reimbursement of up to $1,300 for North America applicants and up to $2,000 for those coming from abroad to attend the Annual Meeting.
A notable aspect of the program is the pairing of Fellows with an industry expert mentor. The mentors and mentees meet via quarterly webinars, in addition to communicating via email and telephone throughout the year.
In order to promote engaged and active members, the SSP Fellowship recipients are expected to report on sessions they observe at SSP, join and actively participate in an SSP committee, contribute to a Fellowship project and surveys, and work with committees to promote and highlight the Fellowship program. Because of these expectations, applicants will be asked to discuss how they intend to apply the Fellowship to their life after the conference.
More information on the program and application process is available at https://www.sspnet.org/fellowship-program-application/. The deadline to submit applications is March 7, 2019.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.