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5 Post-doc positions in the AmazonFACE project

Forwarding on behalf of  my colleague, Dr. David Lapola:

Dear colleague,

The Amazon-FACE project (Assessing the effects of increasing atmospheric
CO2 on the ecology and resilience of the Amazon forest) is hiring 5
post-doc fellows to work in different project components, the majority of
them in Manaus, Brazil (see the three consecutive job descriptions pasted
below).

Could you please publicize it to potentially interested groups or
candidates?

Thanks in advance.

Grande abraço,

David

**************************************************************************************************
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*Two post-doctoral researchers in Amazonian forest ecosystem ecology*

Full-time, three year position (Nov.2014 – Oct.2017)

Net salary US$1,950 per month (US$ 23,395 per year) for scientists with PhD
degree obtained after 2004; and US$ 2,668 per month (US$ 32,014 per year)
for scientists with PhD degree obtained before 2004 (no taxes applicable to
salaries).

The Amazonas State Research Foundation (FAPEAM) and Brazil’s National
Institute for

Amazonia Research (INPA) in Manaus, Brazil wish to recruit two
post-doctoral researchers in

above-ground forest ecosystem science to participate in the AmazonFACE
project. The

extent to which increasing atmospheric concentrations will increase the
productivity of

Amazon forest and reduce its vulnerability to the potential negative
impacts of climate

change, is one of the greatest unanswered questions in ecosystem and global
change

science. The aim of this project is to determine how free air CO2
enrichment (FACE) affects

Amazon forest function. It will be the first FACE experiment ever carried
out in mature tropical

forest. The appointee will join a team of five post-docs that will initiate
and deliver the

experiment and its findings.

The posts will include extended periods of work at the ZF2 fieldsite, ~70km
north of Manaus

and will involve monitoring the responses of key above-ground processes to
the FACE

treatment. The successful applicants will help with the establishment of
the experimental

plots, monitor tree rates, litterfall, tree physiology, leaf and woody
tissue physiology,

canopy/leaf biophysical properties and phenology. The work will be carried
out in close

association with the other post docs working on belowground and modelling
processes, also

employed on this project. A key aim will be to use both individual
measurement and

integrated datasets to address hypotheses that may be organ- or
tree-specific, or integrated

among species, and/or at ecosystem scale.

The applicants shall have considerable expertise in terrestrial ecology,
especially the

interactions of carbon, water and nutrient cycles, ideally with past
experience of working in

tropical forests. They shall be able to work effectively both in remote
field locations and in the

laboratory, and need to be comfortable working both independently and as
part of a large

networked and international consortium. The researchers will join a team,
will need to work

closely with other researchers, and also be able to visit collaborating
laboratories as required,

within Brazil and internationally. Key attributes beyond expertise in the
specific scientific area

include the abilities to identify new scientific challenges, work fairly,
collaboratively and

sensitively within a team, be able to supervise a small field team as
required, to analyse data

and write scientific publications, and to both understand and develop
bridges between the

experimental data and their use in ecosystem models.

The positions will also involve presenting information on research progress
and outcomes,

and communicating the science orally, in writing and electronically to the
Amazon-FACE team

and to external audiences, at meetings, workshops or conferences. The
ability to

communicate clearly in Portuguese and English, or a demonstrated ability
and willingness to

learn either language, is essential. The applicants should also be able to
lead and co-author

high-quality scientific publications within relatively short time periods.

The posts offer substantial potential as part of this project but also
through links with the lead

scientists with related on-going projects in Amazonia. Successful
applicants will join a world

class group of scientists at INPA, and other Brazilian and international
scientific institutions.

The work will be carried out under the supervision of Jean Ometto (INPE,
Brazil) and Tomas

Domingues (USP, Brazil), but closed linked to the Amazon-FACE Scientific
Steering

Committee, which includes Patrick Meir (University of Edinburgh, UK), David
Lapola (UNESP,

Brazil), Rich Norby (ORNL, USA), Carlos (Beto) Quesada (INPA, Brazil) Iain
Hartley

(University of Exeter, UK), and other international leading scientists in
the field.

Applicants should apply by sending an email to contato.labterra@gmail.com
before October

3rd, 23:59 CET, with subject line reading: “Post-doc application:
AmazonFACE-
aboveground”. This email should contain: a 1-page letter of interest
(indicating research

interests related to the position), and a biographical sketch (maximum of 3
pages,

including education and professional career, list of 10 main scientific
publications, and

indication of the quantity of scientific papers, participation in research
projects, conference

presentations and students supervised if applicable). Selected applicants
will be invited for an

interview with project coordinators.

For further information please contact contato.labterra@gmail.com.

**************************************************************************************************
**************************************************************************************************

*Two post-doctoral researchers in belowground Amazonian forest research*

Full-time, three year position (Nov.2014 – Oct.2017)

Net Salary US$1,950 per month (US$ 23,395 per year) for scientists with PhD
degree obtained after 2004; and US$ 2,668 per month (US$ 32,014 per year)
for scientists with PhD degree obtained before 2004 (no taxes applicable to
salaries).

The Amazonas State Research Foundation (FAPEAM) and Brazil’s National
Institute for

Amazonia Research (INPA) in Manaus, Brazil wish to recruit two
post-doctoral researchers in

belowground forest science to participate in the AmazonFACE project. The
extent to which

increasing atmospheric concentrations will increase the productivity of
Amazon forest and

reduce its vulnerability to the potential negative impacts of climate
change, is one of the

greatest unanswered questions in ecosystem and global change science. The
aim of this

project is to determine how free air CO2 enrichment (FACE) affects Amazon
forest function. It

will be the first FACE experiment ever carried out in mature tropical
forest. The appointee will

join a team of five post-docs that will initiate and deliver the experiment
and its findings.

The post will include extended periods of work at the ZF2 fieldsite, ~70km
north of Manaus

Manaus, and will involve monitoring the responses of key below-ground
processes to the

FACE treatment. The successful applicant will help with the establishment
of the experimental

plots, monitor root growth rates, soil water dynamics, aqueous nutrient
fluxes, soil respiration,

and litter decomposition and nutrient mineralisation rates, as well as
collecting and analysing

litter, root and soil samples for carbon and nutrient concentrations. The
work will be carried

out in close association with the other post docs working on aboveground
and modelling

processes, also employed on this project.

The applicants shall have considerable expertise in terrestrial ecology,
especially the

interactions of carbon, water and nutrient cycles, ideally with past
experience of working in

tropical forests. They shall be able to work effectively both in remote
field locations and in the

laboratory, and need to be comfortable working both independently and as
part of a large

networked and international consortium. The applicant will join a team, and
will need to work

closely with other researchers, and also be able to visit collaborating
laboratories as required,

within Brazil and internationally. Key attributes beyond expertise in the
specific scientific area

include the abilities to identify new scientific challenges, work fairly,
collaboratively and

sensitively within a team, to be able to supervise a small field team as
required, to analyse

data and write scientific publications, and to both understand and develop
bridges between

the experimental data and their use in ecosystem models.

The position will also involve presenting information on research progress
and outcomes, and

communicating the science orally, in writing and electronically to the
Amazon-FACE team and

to external audiences, at meetings, workshops or conferences. The ability
to communicate

clearly in Portuguese and English, or a demonstrated ability and
willingness to learn either

language, is essential. The applicants should also be able to lead and
co-author high-quality

scientific publications within relatively short time periods.

The posts offer substantial potential as part of this project but also
through links with the lead

scientists with related on-going projects in Amazonia. Successful
applicants will join a world

class group of scientists at INPA and other Brazilian and international
scientific institutions, r

The work will be carried out under the supervision of Carlos (Beto) Quesada
(INPA, Brazil),

but closed linked to the Amazon-FACE Scientific Steering Committee, which
includes Iain

Hartley (University of Exeter, UK), David Lapola (UNESP, Brazil), Rich
Norby (ORNL, USA),

Jean Ometto (INPE, Brazil), Tomas Domingues (USP, Brazil), Patrick Meir
(University of

Edinburgh) and other international leading scientists in the field.

Applicants should apply by sending an email to contato.labterra@gmail.com
before October

3rd, 23:59 CET, with subject line reading: “Post-doc application:
AmazonFACE-

belowground”. This email should contain: a 1-page letter of interest
(indicating research

interests related to the position), and a biographical sketch (maximum of 3
pages,

including education and professional career, list of 10 main scientific
publications, and

indication of the quantity of scientific papers, participation in research
projects, conference

presentations and students supervised if applicable). Selected applicants
will be invited for an

interview with project coordinators.

For further information please contact: contato.labterra@gmail.com.

**************************************************************************************************
**************************************************************************************************

*Post-doctoral researcher in tropical forest ecosystem modeling*

Full-time, three year position (Nov.2014 – Oct.2017)

Net salary US$1,950 per month (US$ 23,395 per year) for scientists with PhD
degree obtained after 2004; and US$ 2,668 per month (US$ 32,014 per year)
for scientists with PhD degree obtained before 2004 (no taxes applicable to
salaries).

The Amazonas State Research Foundation (FAPEAM) and Brazil’s National
Institute for

Amazonia Research (INPA) in Manaus, Brazil wish to recruit one
post-doctoral researcher in

forest ecosystem modeling science to participate in the AmazonFACE project.
The extent to

which rising atmospheric concentrations will increase the productivity of
Amazon forest and

reduce its vulnerability to the potential negative impacts of climate
change, is one of the

greatest unanswered questions in ecosystem and global change science. The
aim of this

project is to determine how free air CO2 enrichment (FACE) affects Amazon
forest ecosystem

functioning. It will be the first FACE experiment ever carried out in
mature tropical forest. The

appointee will join a team of five post docs set up to initiate and deliver
the experiment and its

findings.

The post will include the application and development of a few
state-of-the-art dynamic global

vegetation models (DGVMs) as a way to provide baseline hypothesis (related
to CO2

fertilization effect in tropical forests) to be verified in the field
experiment and also to improve

current DGVMs with the results generated from the experimental plots. As
such the post will

also include occasional periods of work at the ZF2 fieldsite, ~70km north
of Manaus. The

successful applicants therefore will help in promoting an effective link
between the science

generated by experimentalists and modelers in the AmazonFACE project,
upscaling the

results of the field experiment to the entire Amazon basin and other
tropical forests with

DGVMs.

Applicants shall have considerable expertise in ecological modelling,
terrestrial ecology,

especially the interactions of carbon, water and nutrient cycles, ideally
with past experience of

ecosystem model development and computational programming language. The
person will be

able to work effectively in a computational laboratory at UNESP campus in
Rio Claro, state of

São Paulo, with occasional visits to the experimental site in Manaus and
other modelling

groups in Brazil and abroad, and, as such, needs to be comfortable working
both

independently and as part of a large networked and international consortium.

The researcher will join a team, will need to work closely with other
researchers, and also be

able to visit collaborating laboratories as required, within Brazil and
internationally. Key

attributes beyond expertise in the specific scientific area include the
abilities to see new

scientific opportunities, work fairly, collaboratively and sensitively
within a team, to be able to

supervise a small field team as required, to analyse data and write
scientific publications, and

to both understand and develop bridges between the experimental data and
their use in

ecosystem models.

The position will also involve presenting information on research progress
and outcomes, and

communicating the science orally, in writing and electronically to the
Amazon-FACE team and

to external audiences, at meetings, workshops or conferences. The ability
to communicate

clearly in Portuguese and English, or a demonstrated ability and
willingness to learn either

language, is essential. The applicants should also be able to lead and
co-author high-quality

scientific publications within relatively short time periods.

The posts offer substantial potential as part of this project but also
through links with the lead

scientists with related on-going projects in Amazonia. Successful applicant
will join a world

class group of scientists at INPA and other Brazilian and international
scientific institutions.

The work will be carried out under the supervision of David Lapola (UNESP,
Brazil) but also

working closely with internationally recognised researchers, including Anja
Rammig and

Kirsten Thonicke (PIK-Potsdam, Germany), Prof Bart Kruijt (Univ.
Wageningen, Netherlands),

and other members from the Scientific Steering Committee such as Patrick
Meir (University of

Edinburgh, UK), Tomas Domingues (USP, Brazil), Rich Norby (ORNL, USA),
Carlos (Beto)

Quesada (INPA, Brazil), Iain Hartley (University of Exeter, UK) and Jean
Ometto (INPE,

Brazil).

Applicants should apply by sending an email to contato.labterra@gmail.com
before October

3rd, 23:59 CET, with subject line reading: “Post-doc application:
AmazonFACE-modeling”.

This email should contain: a 1-page letter of interest (indicating research
interests related to

the position), and a biographical sketch (maximum of 3 pages, including
education and

professional career, list of 10 main scientific publications, and
indication of the quantity of

scientific papers, participation in research projects, conference
presentations and students

supervised if applicable). Selected applicants will be invited for an
interview with project

coordinators.

For further information please contact contato.labterra@gmail.com.


*Thiago Sanna Freire Silva*
Assistant Professor

Department of Geography
São Paulo State University (UNESP)
Rio Claro, SP – Brazil
http://thiagosilva.wordpress.com/
Google Scholar Citations
<http://scholar.google.ca/citations?user=hpPTEmcAAAAJ>
Currículo Lattes
<http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=P315543>