LaCimaFINESI · UNAP

Join us

Do research with LaCima

Admission is by evaluation: we look for students and faculty committed to research, to keep the standard that has taken us to indexed journals.

See the open call
Open call

Call for members 2027-I

We are opening admissions for Statistical and Computer Engineering students for the 2027-I term.

Closes in

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Opens
14 October 2026 at 00:00
Closes
30 November 2026 at 23:59

Step by step

Schedule

  1. Announcement14 October 2026 at 00:00 – 31 October 2026 at 23:59In progress

    Call announcement

    Hybrid

  2. Application14 October 2026 at 00:00 – 30 November 2026 at 23:59In progress

    Online application

    Online

  3. Interview2 December 2026 at 09:00 – 4 December 2026 at 13:00

    Personal interview

    In person Aula 204, FINESI

    You will receive your time slot by email.

  4. Results9 December 2026 at 18:00

    Results

    Online

  5. Induction15 March 2027 at 10:00 – 15 March 2027 at 12:00

    Onboarding of new members

    In person Aula 204, FINESI

Call for members 2027-I

Application form

Tell us who you are and why you want to do research. The coordination evaluates every application.

Tell us what interests you, what you can do and what you would like to learn.

Join us

Three ways in

  1. 01

    Semesters I to IV

    Basic preparation

    Training in Python, R and research fundamentals for up to one month, guided by lab members.

  2. 02

    Semester V onwards

    Level test or technical interview

    A practical test or a technical interview with the co-coordinator to place you in a research line.

  3. 03

    Faculty and external researchers

    Review by the coordination

    A meeting with the coordinator and co-coordinator to agree on the collaboration.

Join us

What you will find in the lab

Mentoring by researchers

You are guided by REGINA and RENACYT faculty and by students who already publish.

Co-authorship of papers

You take part in papers for Scopus-indexed journals as an undergraduate.

Ongoing training

Python, R, machine learning, HPC and scientific writing every semester.