[APDIO] Fwd: [Alio] Postdoc and PhD Positions, Methods and Models of Optimization, UNIFESP/ICT, Brazil

[APDIO <apdio@civil.ist.utl.pt>]

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Assunto:	[Alio] Postdoc and PhD Positions, Methods and Models of Optimization, UNIFESP/ICT, Brazil
Data:	Thu, 12 Sep 2019 16:48:14 -0300
De:	Antonio Augusto Chaves <antoniochaves@gmail.com>
Para:	alio@dc.uba.ar

*** CALL FOR POSTDOC AND PhD POSITION AT UNIFESP, São José dos Campos, Brazil ***

PROJECT: Development of a Hybrid Metaheuristic with Adaptive Control Flow and Parameters

SUPERVISOR: Antônio Augusto Chaves (http://lattes.cnpq.br/4973949421738244)
DESCRIPTION: The study of efficient metaheuristics to solve optimization 
problems has been the subject of much research by the scientific community. 
To obtain good results in terms of solution quality and computational time 
it is important to have a good configuration of the metaheuristic. This 
process of specifying control flow and parameter values of a method is a
di cult task. Hence, this project has as its main idea the development and 
improvement of the adaptive Biased Random-key Genetic Algorithm (A-BRKGA) 
method to choose which components will be used and in which sequence (A-BRKGA 
flow) and which parameters to use while an instance of a problem is being 
solved. To this end, machine learning techniques and adaptive and reactive 
mechanisms will be studied to construct an A-BRKGA with online configuration 
of parameters and control flow. The goal is to generate an efficient algorithm
to solve combinatorial optimization problems and make the code easy to reuse. 
In order to evaluate the proposed method four optimization problems with 
industrial and logistical applications will be studied: field technician 
scheduling problem, multicommodity traveling salesman problem with priority 
prizes, two-stage capacitated facility location problem and facility location 
problem with overlapping. The computational tests will use available instances
in the literature and real case studies. The method will be compared with 
state-of-the-art algorithms through statistical analysis. 


POSTDOCTORAL FELLOWSHIP:

The Methods and Models of Optimization (MeMO) laboratory
at Federal University of São Paulo opens a post-doctoral 
research position in “Adaptive Metaheuristic applied to 
ranking aggregation problems”. The selected candidate will 
work at the Institute of Science and Technology (ICT-UNIFESP), 
São José dos Campos, SP/Brazil.

São Paulo Research Foundation provides the financial support 
according to http://www.fapesp.br/en/5427. The postdoctoral fellowship
includes a monthly stipend of R$ 7.373,10 (about USD 1,800 or EU$ 1,600).
Financial support can also be provided to cover transportation expenses
as to the move to São José dos Campos - Brazil. An extra grant is also
provided to cover participation in highly relevant conferences and
workshops, as well as research trips (limited to 15% of the annual
amount of the fellowship). The position is for two year.


REQUIREMENTS: Applicants should have PhD in Computer Science, Operations Research
or in a related field with some experience with the C++ language, metaheristics and
machine learning. Candidates must have got their PhD in the last 5 years.

APPLICATION:  The candidate must send by email until October 10, 2019 the following
documents:

* Curriculum vitae with a list of publications, and previous experience.
* A recommendation letter from a previous supervisor.
* A motivation letter for the application.

All documents must be sent to Prof. Antonio Chaves (antonio.chaves@unifesp.br)  
using 'pos doc application' as the subject.



PhD FELLOWSHIP:

The Methods and Models of Optimization (MeMO) laboratory at Federal University of
São Paulo (UNIFESP) announces one four-year PhD fellowships (Doutorado Direto)
at the Graduate Program in Computer Science of the UNIFESP or at the Graduate Program
in Operations Research of the UNIFESP/ITA, in Sao José dos Campos, SP, Brazil.

The objective of this project is to investigate and develop exact and heuristic
algorithms for packing problems considering transportation constraints, integrated
or not to the routing problems. We are interested in constraints on load stability,
stacking and item fragility, organization of items in classes, order for delivery,
time window, collection and delivery, heterogeneous vehicle fleet, among others.

The PhD fellowship includes a monthly stipend of R$ 2.043,00, R$ 2.168,70, R$ 3.010,80
and R$ 3.726,30 on the first, second, third and fourth year, respectively (from about
USD 500 to USD 900), access to the health-care system of Unicamp or USP, and research
contingency funds (30% of the annual value of the fellowship, each year). The fellowship
may also cover transportation costs and an additional monthly stipend for installments
in the state of São Paulo. For more details, check out FAPESP’s webpage
http://www.fapesp.br/5315 (in Portughese).

REQUIREMENTS: The candidate must have a recent undergraduate degree in Computer
Science, Engineering, or in a related field, and must not hold a Masters degree.

APPLICATION: The candidate must send by email until November 30, 2019
the following documents (in English or Portuguese):

* Academic record and a description of previous academic experience;
* Two recommendation letters, being one from a previous supervisor, if possible;
* A motivation letter for the application.

All documents must be sent to Prof. Antonio Chaves at antonio.chaves@unifesp.br
using 'PhD application' as the subject.

--

Prof. Dr. Antônio Augusto Chaves

Univ. Fed. São Paulo - UNIFESP
Institute of Science and Technology - ICT

http://www.ict.unifesp.br/antoniochaves/

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