Silvio Alexandre de Araujo
5 days ago
Postdoctoral Fellowship in Optimization for Production and Logistics at UNESP São Paulo State University in Brazil
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Brazil
University
University of Sao Paulo

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About this position
The Systems Modeling and Optimization Group at UNESP (São José do Rio Preto campus) is seeking a postdoctoral fellow supported by FAPESP.
This opportunity is centered on optimization in production and logistics, with research topics including cutting, packing, lot-sizing, scheduling, routing, and location problems. The selected researcher will work under the supervision of Prof. Silvio Alexandre de Araujo on the integration of mathematical models and the development of solution methods for complex integrated lot-sizing problems.
The fellowship includes a monthly tax-free scholarship of BRL 12,570.00 (approximately USD 2,500), relocation and transportation support for moves over 50 km, the possibility of a Research Internship Abroad (BEPE grant), and an additional 10% annual research contingency fund.
Eligibility requirements include a PhD obtained within the last 7 years in Combinatorial Optimization, Operations Research, or a related area, plus experience in mathematical modeling and programming in C, C++, or Python. Applicants should also have an excellent academic record with no course failures.
The deadline is June 30, 2026. To apply, candidates should email their CV, academic transcripts, cover letter, and recommendation letter to Prof. Silvio Alexandre de Araujo with the subject line: Grant PD/FAPESP - UNESP.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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