FELLOWSHIP

Helping researchers transition to data driven careers in industry.

APPLY

8 week Fellowship for PhD grads and postdocs.

DublinAI Fellowship is an intensive, eight-week professional development program for elite level PhD grads and postdoctoral researchers that help's bridge the gap to a full-time career in data & AI related fields. Careers include Data Scientist, Machine Learning Engineer, Data Analyst or niche AI expert (NLP, Computer Vision etc).

Fellows come from a mix of data driven STEM fields: physics, math, engineering, statistics, computer science, machine learning, quantitative finance, genomics, biology, neuroscience etc.

How does it work?
8 week Fellowship, from entry to interviews.

01

Intro

Partner, mentor and AI ecosystem intro's. Best practices for modern product-focused data pro's.

02

Build

Define project scope, research approach, prep data. Build a data-driven solution to an industry problem.

03

Prep

Polish your work and prepare to present your project to partner companies. Start interview preparation.

04

Interview

Interview with companies following your project presentation, then agree and join a top data or AI team.

Program fundamentals
Some key fundamentals of the Fellowship.

Tuition

8 week, full-time, tuition-free fellowship program.

Quality

Competency and aptitude based entry to each program.

Projects

Data projects based on real world industry problems.

Principles

Best practices for data pro's. Comm's to scoping, clean code to production.

Interviews

Coordinated fellow and partner interviews helping you secure the right job.

Cohorts

Cohort consists of PhD grads and Postdocs from a diverse range of STEM backgrounds.

Mentors

Fellowship mentors are from Ireland's leading Data and AI teams.

Network

Upon completion, fellows have an alumni and industry mentor network for life.

Apply to our 2020 Programs.
The first program starts in March.


Know someone suitable?
Refer a friend.


Want to hire talent?
Partner's align with DublinAI to access a pre-filtered and pre-trained, high quality talent pipeline to scale Data, Engineering and AI teams.

Hire talent, sponsor a challenge or fund a scholarship. Contact us.