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Open Positions

We do not hire skilled people and motivate them.
We hire already motivated people and inspire them.
(after Simon Sinek)

Machine Learning Researcher — Tracking at the HL-LHC

The São Paulo Research and Analysis Center (SPRACE) develops fundamental and applied research in areas such as high energy physics (HEP), scientific instrumentation, high performance computing (HPC) and digital innovation. Implemented in 2003 with support from the São Paulo Research Foundation (FAPESP), SPRACE enables the participation of HEP researchers from the State of São Paulo in the Compact Muon Solenoid (CMS) collaboration of the Large Hadron Collider (LHC), the particle accelerator of the European Organization for Nuclear Research (CERN). We are seeking a highly qualified Machine Learning Researcher to work on applications of machine learning techniques to the High-Luminosity Large Hadron Collider (HL-LHC) experiments. This position is sponsored by FAPESP, by means of a Technical Training Scholarship (https://bv.fapesp.br/en/347/technical-training/).

The position

SPRACE performs fundamental research to understand the deepest structure of matter; we primarily simulate, collect and analyze data for the CMS 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. The candidate will work together with the SPRACE team on attacking these problems, developing solutions, giving support to the physicists and sharing the results in the form of research papers and conference presentations. A partial list of topics within this project follows:

Pattern recognition and filtering in extremely crowded/noisy environments, for HL-LHC tracking;
Sequence analysis (Recurrent networks, Graph based networks) for tracking reconstruction;

Requirements

The candidate must have a Ph.D. degree in Computer Science or other related areas; alternatively, they must have a B.Sc. degree and, at least, 5 years experience in the private sector. The skills and qualifications that we are looking for include, but are not restricted to:

Strong motivation to participate in challenging projects and actively develop a research program on physics analysis.
Ability to work in a targeted, structured, and productive manner in a multi-disciplinary team.
Excellent communication skills.
Technical skills:
- Strong knowledge in statistics, machine learning and neural networks, more specifically on Recurrent Networks and Graph-based Networks, and on Representation learning;
- 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…
  - Experience with PyTorch and /or TensorFlow;
Proficiency in English;

Earlier experiences on the following subjects are considered a bonus:

High Performance Computing;
Deep Learning;
Kaggle competitions;

Appointment Period

These appointments are initially for 2 (two) years, and could be extended depending on the results of midterm evaluation carried out by a committee from the funding agency. The target start date is September 1st, 2024.

Payment and Other Advantages

The monthly income is fixed by FAPESP and nowadays is R$ 9.047,40. In addition to the income, the candidate will receive:

Travel ticket to/from São Paulo.
Installation aid corresponding to one month of salary. *15% of the yearly income to cover expenses with traveling, participation in conferences, equipment, etc.

How to apply

SPRACE is committed to the principles of equal opportunity and affirmative action. Applications from any sexual orientation and members of minority groups are encouraged. Please provide an application letter, résumé of work experience, and at least two letters of recommendation to Thiago.Tomei@unesp.br with the subject "TT-5 2024 - Tracking".

Deadline for application

The applications will be reviewed until the position is filled (open until filled), but we encourage the candidates to send their applications until June 30th 2024. Only shortlisted candidates will be contacted. Shortlisted candidates must be available for a videoconference interview where we expect a short presentation on the previous achievements and proposed research plan.

Machine Learning Researcher — Event Generation at the HL-LHC

The position

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

Requirements

Strong motivation to participate in challenging projects and actively develop a research program on physics analysis.
Ability to work in a targeted, structured, and productive manner in a multi-disciplinary team.
Excellent communication skills.
Technical skills:
- Strong knowledge in statistics, machine learning and neural networks, more specifically on Generative Adversarial Networks and/or Variational Autoencoders;
- 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…
  - Experience with PyTorch and /or TensorFlow;
Proficiency in English;

Earlier experiences on the following subjects are considered a bonus:

High Performance Computing;
Deep Learning;
Kaggle competitions;

Appointment Period

These appointments are initially for 1 (one) year, and could be extended depending on the results of midterm evaluation carried out by a committee from the funding agency. The target start date is September 1st, 2024.

Payment and Other Advantages

The monthly income is fixed by FAPESP and nowadays is R$ 9.047,40. In addition to the income, the candidate will receive:

Travel ticket to/from São Paulo.
Installation aid corresponding to one month of salary. *15% of the yearly income to cover expenses with traveling, participation in conferences, equipment, etc.

How to apply

Deadline for application

Computing Science Researcher — Heterogeneous HPC Systems for HEP

The position

SPRACE performs fundamental research to understand the deepest structure of matter; we primarily simulate, collect and analyze data for the CMS experiment at the LHC. The research team is multidisciplinary, including particle physicists, computing scientists and electronics engineers. The successful candidate will participate in the implementation of a heterogeneous infrastructure to provide access to High Performance Computing resources for the SPRACE users, by means of a high abstraction level mechanism based on the HPC as a Service model. A partial list of topics within this project follows:

Investigation of cyberinfrastructures of HPC in Cloud
Deployment of a HPC as a service provider
Collaboration with OSG to implement HPC as a service provider
Investigation of applications for HEP with high performance demands
Performance evaluation of applications for HEP
Investigation of heterogeneous architectures
Performance optimization of applications for HEP in heterogeneous architecture
Deployment, support and management of an experimental HPC cloud infrastructure
Organization of Workshops, Courses, Seminars and Papers

Requirements

Strong motivation to participate in challenging projects and actively develop a research program on physics analysis.
Ability to work in a targeted, structured, and productive manner in a multi-disciplinary team.
Excellent communication skills.
Technical skills:
- Rogério por favor insira aqui!
Proficiency in English;

Earlier experiences on the following subjects are considered a bonus:

Rogério por favor insira aqui!

Appointment Period

These appointments are for 2 (two) years. The target start date is September 1st, 2024.

Payment and Other Advantages

The monthly income is fixed by FAPESP and nowadays is R$ 9.047,40. In addition to the income, the candidate will receive:

Travel ticket to/from São Paulo.
Installation aid corresponding to one month of salary. *15% of the yearly income to cover expenses with traveling, participation in conferences, equipment, etc.