Available Opportunities

Here you can find the positions, scholarships and opportunities available in the C4AI.

TT-4 scholarship for computing infrastructure REF:22TT4-003

  • Added on May 2022
  • Expires on June 30, 2022

See the position requirements and apply

Project title: computational infrastructure for data storage and management, research projects and high performance processing

Supervisor name: Alexandre Delbem

Supervisor department: ICMC-USP

Number of months: 24 months

Positions: 1 position

The candidate will collaborate with researchers from projects of ‘Challenges’ of the Center for Artificial Intelligence at the University of São Paulo. A summary of the Center and projects can be found on the C4AI website ( https://c4ai.inova.usp.br)

The TT-4 Grant is a position for a graduate professional, a specialist with two years of experience in Information Technology (IT) or a master’s degree in IT, with a dedication of 16 to 40 hours per week (the grant value is proportional to the number of hours dedicated).

Required:

  • experience in a virtualized environment: creation and maintenance of virtual machines; administration of virtual networks;
  • maintenance of Linux and Windows servers;
  • experience with security systems: firewall and proxy;
  • implementation of usual database features; user authentication access (Active Directory) and file-sharing;
  • user services (forms, accounts, resources, Etc.); automation of management tasks; reporting system; dashboards; wiki environment for instructions; other requested features; documentation;
  • experience in Linux platform WEB servers.

Desirable:

  • experience in code management platforms: GitHub, GitLab, Redmine, Jupiter Notebook, Docker/Kubernetes.

Please send your CV and other additional information as indicated in the “Apply” button below.

Information of scholarship and workplace

The TT-4 grant will be awarded by FAPESP in the amount of BRL 3,570.80 per month (for 40 hours) for a period of 24 months.

The scholarship holder may work from 16 to 40 hours per week – to be agreed (the value of the scholarship to be paid will be proportional to the number of hours per week). The work must be carried out in person.

Location: C4AI at ICMC-USP

Address: Avenida Trabalhador São-Carlense, 400 – Centro / CEP: 13566-590 – São Carlos – SP

Pos-doutorate in construction of causal models REF:22PDR001

  • Added on February 2022
  • Expires on June 30, 2022

See the position requirements and apply

Project title: construction of causal models from raw data for multcriteria decision making

Supervisor name: A. Delbem, A. Saraiva, a C4AI-AgriBio coPI

Supervisor department: Poli-USP, ICMC-USP, other USP Institute associated to C4AI-AgriBio

Research group: C4AI-AgriBio

Number of months: 12 months

Positions: Up to 6 positions

The candidate will collaborate with researchers from the project ‘AgriBio Challenge’ of the Center for Artificial Intelligence at the University of São Paulo. A summary of the Center and projects can be found at the C4AI website ( https://c4ai.inova.usp.br)

The project deals with agribusiness and social data, mainly involving low-income producers and consumers, focusing on building models that benefit the generation of mechanisms and decision-making by managers in favor of increasing food security and quality.

The applicant will contribute to the main objectives of the project through the following activities:

  • Treatment of large-scale structured and unstructured data;
  • Development of computational methods for automatically constructing (explainable) models based on graphs;
  • Development of methods for testing causality of the learned relationships from models;
  • Selection of models based on multiple criteria or objectives.

This project is suitable for a candidate with a PhD degree and a focus on innovations in Artificial Intelligence with the potential for socio-economic impact. The candidate needs to know at least programming in C or R or Python, in addition to training in one or more of the following areas:

  • inferential statistics (classical or Bayesian), or
  • multi-criteria decision making, or
  • data mining; or
  • evolutionary computation, or
  • optimization.

Please send your CV and other additional information as indicated in the “Apply” button below.

Information of scholarship and workplace

Scholarship FUSP ( X ) Valor de: R$ 9.326,97 monthly. 12 month period.

Location: Sao Paulo -SP with periods in Sao Carlos – SP or vice versa.

Observation: Attendance in person must prevail during normal sanitary periods to carry out activities in USP research laboratories.

The post-doctorate can be developed in one of the many institutes from USP, for example:

  • Institute of Mathematics and Computer Science (ICMC-USP)
  • Polytechnic School (EP-USP)
  • São Carlos School of Engineering (EESC-USP)
  • Luiz de Queiroz College of Agriculture (ESALQ-USP)
  • Institute of Astronomy, Geophysics and Atmospheric Science (IAG-USP)
  • Institute of Mathematics and Statistics (IME-USP)
  • School of Economics, Business Administration and Accounting at Ribeirão Preto (FEARP-USP)
  • School of Economics, Business and Accounting (FEA-USP)
  • Faculty of Philosophy, Languages, and Human Sciences (FFLCH-USP)

Doctorate in construction of causal models REF:22PHD002

  • Added on February 2022
  • Expires on June 30, 2022

See the position requirements and apply

Project title: construction of causal models from raw data for multcriteria decision making

Supervisor name: A. Delbem, A. Saraiva, a C4AI-AgriBio coPI

Supervisor department: Poli-USP, ICMC-USP, other USP Institute associated to C4AI-AgriBio

Research group: C4AI-AgriBio

Number of months: 36 months

Positions: Up to 6 positions

The candidate will collaborate with researchers from the project ‘AgriBio Challenge’ of the Center for Artificial Intelligence at the University of São Paulo. A summary of the Center and projects can be found at the C4AI website  ( https://c4ai.inova.usp.br).

The project deals with agribusiness and social data, mainly involving low-income producers and consumers, focusing on building models that benefit the generation of mechanisms and decision-making by managers in favor of increasing food security and quality.

The applicant will contribute to the main objectives of the project through the following activities:

  • Treatment of large-scale structured and unstructured data;
  • Development of computational methods for automatically constructing (explainable) models based on graphs;
  • Development of methods for testing causality of the learned relationships from models;
  • Selection of models based on multiple criteria or objectives.

This project is suitable for a candidate with undergraduate degree and/or master with a focus on innovations in Artificial Intelligence with the potential for socio-economic impact. The candidate needs to know at least programming in C or R or Python, in addition to training in one or more of the following areas:

  • inferential statistics (classical or Bayesian), or
  • multi-criteria decision making, or
  • data mining; or
  • evolutionary computation, or
  • optimization.

Please send your CV and other additional information as indicated in the “Apply” button below.

Information of scholarship and workplace

FUSP Scholarship (X) BRL 3.808,66 per month (1st year) and BRL 4.713,77 per month (following years)

Location: Sao Paulo -SP with periods in Sao Carlos – SP or vice versa.

Observation: Attendance in person must prevail during normal sanitary periods to carry out activities in USP research laboratories.

The doctorate can be developed in one of the many institutes from USP, for example:

  • Institute of Mathematics and Computer Science (ICMC-USP)
  • Polytechnic School (EP-USP)
  • São Carlos School of Engineering (EESC-USP)
  • Luiz de Queiroz College of Agriculture (ESALQ-USP)
  • Institute of Astronomy, Geophysics and Atmospheric Science (IAG-USP)
  • Institute of Mathematics and Statistics (IME-USP)
  • School of Economics, Business Administration and Accounting at Ribeirão Preto (FEARP-USP)
  • School of Economics, Business and Accounting (FEA-USP)
  • Faculty of Philosophy, Languages, and Human Sciences (FFLCH-USP)

Closed Opportunities

Here you can find the positions, scholarships and opportunities no available in the C4AI.

REFERENCEPOSITIONDEADLINEPROJECTDETAILS
REF:21PESQ001Fundraising Leader for Diversity & InclusionCLOSEDFundraising for Diversity & InclusionClick here for details