Is the Job related to staff position within a Research Infrastructure?: No
Offer Description
Activities and context: The research will focus on the forensic discrimination of Brazilian beef, employing data fusion strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and preparation, as well as writing scientific papers and reports.
Mandatory requirements: PhD completed in the fields of agricultural or biological sciences; practical experience in artificial intelligence, supervised and unsupervised machine learning, and complex data fusion; proficiency in parametric and non-parametric statistical methods, bootstrapping simulation techniques, and experimental design; advanced knowledge of SAS software; fluency in English, both spoken and written, for participation in international activities and collaborations; availability to reside in Piracicaba, state of São Paulo, Brazil, throughout the project development period.
Desirable requirements: Previous experience in forensic science, food traceability and authentication, and application of nuclear analytical methods; experience in conception, preparation, structuring, and development of scientific research projects; a track record of participation in and presentation of research findings at international scientific conferences and events; experience in international academic and scientific cooperation and collaboration; experience in mentoring, supervising, and advising undergraduate students.
How to apply: Applicants must send, by email (crm.agro@cena.usp.br), an updated Curricular Summary in the FAPESP model, a motivation letter explaining their suitability and alignment with the project “Forensic discrimination of Brazilian beef based on data-fusion and artificial intelligence”, as well as reference letters from two researchers in the field. The email subject line must contain the identification: “FAPESP Postdoctoral Fellowship Application.” Applications with incomplete documentation or not complying with the specified requirements will not be considered.
This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity.
Where to apply
Website: http://www.fapesp.br/oportunidades/9766
Additional Information
Eligibility criteria
Eligible destination country/ies for fellows:
Eligibility of fellows: country/ies of residence:
Eligibility of fellows: nationality/ies:
Work Location(s)
Number of offers available: 1
Company/Institute: Centro de Energia Nuclear na Agricultura, Universidade de São Paulo (CENA-USP)
Country: Brazil
State/Province: São Paulo
City: Piracicaba
Contact
State/Province: São Paulo
City: São Paulo
Website: http://www.fapesp.br/oportunidades/
Street: R. Pio XI, 1500 - Alto da Lapa
Postal Code: 05468-901
