Selection criteria. The BIOHC Consortium will select applicants to the programme on the basis of high academic achievement, the fit of their research projects with the BioHC expectations and research profile, and an assessment of each candidate’s potential and commitment to complete high quality research. The BioHC consortium will respect and follow the guidelines set out by the EACEA in the document ‘Action 1B – EMJD: Minimum requirements for doctoral candidates’ selection procedure’ as published on the Erasmus Mundus website in the Action 1 beneficiaries space. For each edition of the programme a Selection Board will be appointed by the Consortium Committee. Its membership will represent all consortium partners, all participating disciplines, and a representative of the associated members. Each member of the board will assess and score each application, and declare separately on each assessment form that no conflict of interest arises from their acting as an assessor in this application.
1.    Eligibility of the application
The eligibility of the application is assessed on the completion of three criteria:
–    Application and documents accepted
–    English minimum level reached
–    Diploma minimum level reached
2.    Grading of the application for the ranking of the candidate
Candidates will be graded on a 20‐point scale across the 6 following criteria:
–    1. The institution reputation (from international rankings) (0 to 4)
–    2. The academic records (0 to 6)
–    3. The quality and duration of the experiences (0 to 2)
–    4. The motivation letter (0 to 2)
–    5. The recommendation letters (0 to 2)
–    6. The quality and potential of the research proposal and the project relevance (0 to 4)

Evaluation. Selectors will be required to comment on all six criteria using the BioHC on-line Application Assessment Form. In addition, the prospective supervisors suggested by candidates will also comment on the relevant applications. The Chair of the Consortium Committee will review the grading and comments, and compile a ranking based on average scores. In a preselection phase, the committee will then nominate a long list of candidates selected for interview. Interviews will be conducted by means of a videoconference link, or by telephone. During the interviews, candidates will be assessed against a set of criteria to be defined in advance of each interview. The Consortium Committee will need to take a view after the interviews whether the ranking that resulted from the interviewing process confirms or changes the ranking that emerged from the preselection phase. In taking their decision the committee will take into account the programme requirements/restrictions, the mobility pathways of students to ensure that the cohort is divided in an equitable way between all the partners, and consider special cases in relation to disability and gender balance.

After the interviews, the Consortium Committee will agree on the final, absolute ranking of candidates for Category A, Category B, special window and non‐Fellowship applications. The Coordinator will communicate the absolute ranking to the EACEA and enter the names of candidates on the Erasmus Mundus Mobility Database. The final resolution is communicated to the candidates, whether if they are granted with the Erasmus Mundus Fellowship or other fellowship, if they are in the Reserve list, or if they are not selected. The delivery of scholarships is finalized obeying the Erasmus Mundus programme regulations. Once the Doctoral candidates’ applications have been accepted by the joint Biohealth Computing selection committee, the Consortium Universities enroll these Doctoral candidates according to their own regulations in the two partner universities. Registration however always takes place administratively at the Coordinator’s institution. Upon registration, all Doctoral candidates are required to sign a Doctoral Agreement, which content is defined by the BioHealth Computing steering Committee, defining their rights and duties.

  • CV/Prior Education – 50%. Examples of factors to be evaluated in this topic will include the original Bachelor’s Degrees, their relevance to the field and grades. Candidates must have earned the equivalent of 300 ECTS credits, including at least 60 in a master’s degree (Master of Science or engineering degree) or equivalent in areas to which BioHealth Computing programme is relevant. Doctoral candidate selection will be based on an evaluation of their academic studies, among others. In this regard, the consortium will require Doctoral candidates to submit a transcript. The minimum admission requirements will be a master’s (or equivalent) grade point average (GPA) of at least 75 % of the highest grade. The criteria also cover language skills. They have to provide a certified proof of language test results (i.e. TOEFL minimum score of 237 (computer based), 580 (paper-based) or 92-93 (internet-based) or IELTS minimal average score of 6.5 without any category below. Doctoral candidates can still apply if they won’t have finished their master or engineering studies within the application deadline.
  • Work experience – 20%. Examples of factors to be evaluated in this topic will include previous work experience and research experience in areas to which BioHealth Computing is relevant, both in terms of duration and type of position.
    From the documents submitted by the applicants, the following information are extracted and evaluated using an evaluation form with grading levels for each factor:
  • Motivation – 30%.
Administrative validation Academic evaluation
General information
First name
Last name
Year of birth
Address City
Country of residence
(Phone) Email
Institution name & address
Institution contact
Master type Ms degree
1) Presence of the required documents:
University Diplomas, Transcripts, CV, Motivation letter, Passport copy, Transcripts, 2 Referee forms
2) English minimum level
3) Diploma minimum level
CV/Prior Education (50%)

Institution reputation (20%)
Academic records (30%)

Work experience (20%)

Prof. and research experience (10%)
Reco/Ref letters (10%)

Motivation (30%)

Fit with desired projects
Fit with professional objectives (10%)
Quality and potential of the research proposal and the project relevance (20%)

Table. Factors to be evaluated during the selection process