Advanced Institute for Artificial Intelligence logo

Advanced Institute for Artificial Intelligence

Junior Machine Learning Researcher

Serrapilheira · São Paulo, São Paulo
Department Serrapilheira
Employment Type Full-Time
Minimum Experience Entry-level

The Advanced Institute for Artificial Intelligence (AI2) is a consortium of researchers committed to openness and inclusiveness that gathers together different experts in AI with a collaborative and constructive spirit to boldly attack challenging problems with high social and economic impact through the fundamental support of the private sector.

We are seeking highly qualified Junior Machine Learning Researcher to work on applications of machine learning techniques to the High-Luminosity Large Hadron Collider (HL-LHC) experiments in collaboration with the São Paulo Research and Analysis Center (SPRACE). This project is sponsored by Serrapilheira, a private nonprofit institution which promotes science in Brazil.

Job Description

SPRACE performs fundamental research to understand the deepest structure of matter; we primarily simulate, collect and analyse data for the Compact Muon Solenoid experiment at the LHC. The research team is multidisciplinary, including particle physicists, computing scientists and electronics engineers. The successful candidate will participate in the development of new simulation, reconstruction and analysis methods for the data taken at the High-Luminosity LHC using deep learning methods. They will work together with the SPRACE team on attacking these problems, developing solutions and sharing the results in the form of research papers and conference presentations.

The successful candidate is expected to work on:

  • Generative methods (Generative Adversarial Networks, Variational Encoders) for simulation of particle detectors;

  • Pattern recognition and filtering in extremely crowded/noisy environments, for HL-LHC tracking;

  • New classification and regression methods for physics analysis, focusing on extremely low signal-background ratio problems.


The candidate must have a B.Sc. degree in Computer Science or other related areas. The skills and qualifications that we are looking for include, but are not restricted to:

  • Excellent communication skills;

  • Strong knowledge in statistics, machine learning and Neural Networks;

  • Some experience on applying machine learning techniques to very large data sources;

  • Some experience with data visualization;

  • Proficiency in Python;

  • Experience with Python data manipulation and ML APIs such as NumPy, SciPy, matplotlib, scikit-learn, Pandas, etc...

  • Proficiency in English;

Earlier experiences on the following subjects are considered a bonus:

  • High Performance Computing;

  • Deep Learning;

  • Kaggle competitions;

  • Specific ML platforms -- TensorFlow and PyTorch;

Appointment details

This position, sponsored by Serrapilheira, is initially for 1 year and could be extended for up to 3 years. The monthly income will be established accordingly to the academic qualification and previous experience of the candidate. In general, the income will be compatible to the equivalent level of a fellowship from the São Paulo Research Foundation (FAPESP).

Deadline for application

The deadline is 31 July 2019. We reserve the right not to make an appointment and continue searching after the closing date. Only shortlisted candidates will be contacted. Shortlisted candidates must be available for an interview.

AI2 Principles

The Advanced Institute for Artificial Intelligence (AI2) is committed to the principles of equal opportunity, inclusivity, and diversity. Women remain underrepresented in STEM careers and we encourage their application for AI2 positions. We welcome applications from qualified candidates with any sexual orientation and members of minority groups.

Thank You

Your application was submitted successfully.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

  • Location
    São Paulo, São Paulo
  • Department
  • Employment Type
  • Minimum Experience