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Chancellor's Graduate Fellowship

The Chancellor’s Graduate Fellowship (CGF) is intended to recruit and support the best Ph.D. students with most distinguished academic records.  The award is $4,000 per year for up to the first four years in a Ph.D. program at UC Merced, contingent upon funding from the Chancellor, academic progress and continued eligibility.  Award funds are in addition to support from any sources other than graduate division fellowships—CGF awardees are not eligible for additional fellowship support from the Graduate Division.


Eligibility Requirements & Standards

  • All nominees must be Ph.D. applicants entering their first year of graduate study at UC Merced.    
  • All nominees must submit a graduate admissions application.
  • All Ph.D. applicants are eligible, regardless of citizenship.
  • All nominees must have an undergraduate GPA above 3.0.
  • Must be awarded as part of an offer of multi-year support.
  • Deferment of the award is not allowed.

Continued Funding Standards

  • Recipients must make normative progress toward their degree, according to each program’s normative time to degree plus one year.  
  • Recipients must maintain a GPA greater than 3.0.
  • Recipients must be enrolled in 12 units per semester.  For the first year of graduate study, 8 of the 12 units must be graded.
  • Recipients may not change graduate programs during the award period (excluding cases for which a program changes name or status as a result of CCGA approval).
  • Graduate Group Chair must recommend continuation of the fellowship at the end of each academic year.

Financial Support

  • Up to four awards will be made each academic year
  • The award is distributed as a $2,000 fellowship each Fall and Spring semester, for up to four years (Total award up to $16,000).

Nomination & Review Procedures

  • Each graduate group offering a doctoral degree is eligible to nominate up to two Ph.D. applicants each year.  Any applicant meeting the criteria above is eligible; applicants do not need to apply.
  • Each graduate group offering a doctoral degree is eligible to nominate up to two Ph.D. applicants each year.  Any applicant meeting the criteria above is eligible; applicants do not need to apply. Graduate Group Chairs should submit their nominations directly to the Graduate Division. If two nominees are submitted, they must be ranked.
  • This fellowship will follow a multiple step review process that considers all applicants.  Review criteria will include adherence to the fellowship guidelines, intellectual merit and academic qualifications of the applicant.
    • First Review - Nominations submitted by the Graduate Group Chairs should include a brief description of the process and criteria that the graduate group used to choose nominees. For each nominee, the faculty mentor should be listed, along with 3-4 sentences highlighting the nominee’s qualifications for the non-expert reviewer, plus any information not in the Ph.D. admissions applications that might help the review committee evaluate the nominees and their fellowship qualifications.
    • Second Review - Nominee admissions applications are provided to the review committee, and the committee then makes recommendations to the Graduate Division.  Review criteria will include adherence to the fellowship guidelines and the academic qualifications of the nominee.
    • Third Review - Final award decisions will be made by the Graduate Dean.

* Graduate Division reserves the right not to make an award in any given year for which a call for applications/nominations has been issued.

 

Deadlines

Admissions Application:
January 15, 2018

Graduate Group Rank List:
February 2, 2018


Chancellor's Fellows
2014-15

James Stinecipher
Environmental Systems

Yi Zhu
Electrical Engineering and Computer Science

 

2013-14

Yen-Chang Chen
Bioengineering & Small-Scale Technologies

Amrit Deol
World Cultures

 

2012-13

Elizabeth Owens
Applied Mathematics

Till Bergman
Cognitive and Information Sciences

Youhong Zeng
Physics and Chemistry

Simon Safar
Electrical Engineering and Computer Science

 

2011-12

Shu-Chen Hung
Quantitative Systems and Biology

Tricia Goulding
Quantitative Systems and Biology

Erik Buchholz
Psychological Sciences

Laura Kelly
Cognitive and Information Sciences