Postdoctoral Position in Computer Vision Analysis of Growing Plants at U. C. Davis, California, USA

(Repeat posting: the accepted candidate withdrew, and the position is again open)

We have a Postdoctoral scholar position in the Department of Computer
Science at the University of California, Davis CA, USA, for a researcher in
computer vision, image processing, image segmentation, or shape matching,
to work on a project to understand the growth of tomato plants. The work
includes multi-view stereo reconstruction, registration and joint
analysis of multi-view stereo, thermal, and "pushbroom" multispectral
imagery of growing plants, feature tracking in Micro Computed Tomography
images of growing plant meristems, and developing models of plant
growth, as well as helping to mentor two graduate students doing this
research.The main work will be in multi-view stereo reconstruction
using structured light. The position is for 12 months, with a possible extension
for up to 6 more months, and could start anytime before March 1, 2014.
Appointment as a postdoctoral scholar requires a doctoral degree (Ph.D.,
M.D.) or foreign equivalent (in this case, in Computer Science or a
related field such as Electrical Engineering or Mathematics). To apply,
e-mail a CV to Nelson Max <max@cs.ucdavis.edu>. The abstract of our
funded project is included below.

"In the near future, population increases combined with climate change
are expected to place unprecedented demands on agriculture. Droughts are
predicted to become more prevalent, nitrogen and phosphorous will become
limiting, and saline environments may be accessed as arable land becomes
depleted. Developing crop varieties to cope with such stresses under
unpredictable climate conditions will require a nuanced understanding of
genetic responses to environmental changes. Additionally, valuable water
and fertilizer must be efficiently triaged to those plants facing the
greatest deficit of resources. In this project, we will study responses
to drought, salinity, and nitrogen and phosphorous deprivation in
tomato, the second most valuable vegetable crop in California and
worldwide. We will use RNA expression profiling to identify those genes
most responsive to environmental stresses not only in domesticated
tomato, but also its wild relatives, which may harbor sensitized
responses to environmental change. We will develop high throughput
methods to measure biochemical markers of stress, including remote
multi-spectral sensing, thermal imaging, and stereo reconstruction.
Additionally, we will analyze changes in the development and morphology
of organs using Micro Computed Tomography to image the meristem and
observe changes in leaves from their inception. We will direct our
understanding of stress response towards the creation of genetically
engineered tomato varieties that, from the outset of specific stresses,
will visibly express a reporter, changing the color or structure of the
plant. Such sentinel plants will allow the application of water and
fertilizer as needed, rather than broadcasting these resources on
potentially wasteful schedules."

Enabling Quantification of Uncertainty for Inverse Problems (EQUIP)

As part of the EPSRC funded EQUIP Programme Grant, Warwick University
and Heriot-Watt University are advertising four postdoctoral positions
in statistical inverse problems.  Three posts will be based at the
University of Warwick and another post at the University of
Heriot-Watt. Each will have a two year duration, and may start at a
mutually agreed date in the calendar year 2014. EQUIP is led by Andrew
Stuart (Mathematics, Warwick) and comprises Mike Christie (Petroleum
Engineering, Heriot-Watt), Mark Girolami (Statistical Science,
currently UCL but moving to Warwick) and Gareth Roberts (Statistics,
Warwick).  Applicants with expertise in the areas of inverse problems,
numerical analysis, computational partial differential equations,
computational and theoretical statistics and subsurface geophysics are
encouraged to apply.

For details about EQUIP, and links to the application process, see:

http://www2.warwick.ac.uk/fac/sci/maths/research/grants/equip

The Science Software Systems Group has an immediate opening for a postdoctoral researcher to conduct applied research in the area of high performance scientific data management and processing. The overall objectives for this work are to develop and deploy technologies that automate data movement and sharing from experiment through processing to sharing/dissemination. The project will focus on experimental data being collected at the Advanced Light Source (ALS): moving data to the National Energy Research Scientific Computing Center (NERSC) across the Energy Sciences Network (ESnet), assembling automated processing workflows comprised of a variety of pre-existing and to-be-developed data analysis, manipulation, and visualization tools; stage data, data products, and analysis/visualization products for dissemination to individuals and communities via pre-existing and to-be-developed web-based technologies.

 

This position will be part of an experienced team conducting R&D in the areas of data-intensive, high performance, visualization, analysis, and data management. The candidate will be working as part of a multi-disciplinary team composed of computer, computational, and experimental scientists.

 

SPECIFIC RESPONSIBILITIES:

 

• Design and implementation of a big data scientific workflow system capable of handling data volumes and complexity of current and next-generation ALS experiments and simulations.
• Design and implementation of a high-performance, large-data, data access and sharing system for ALS experimental data.
• Publish and present research results in journals and conferences.

APPLY: https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=76206

 

 

Please apply or feel free to forward on to others.

https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=76206

Computer Scientist Postdoc Fellow- High Performance Scientific Data 
Management and Processing-76206
Organization:CR-Computational Research

Description

The Science Software Systems Group has an immediate opening for a 
postdoctoral researcher to conduct applied research in the area of high 
performance scientific data management and processing. The overall 
objectives for this work are to develop and deploy technologies that 
automate data movement and sharing from experiment through processing to 
sharing/dissemination. The project will focus on experimental data being 
collected at the Advanced Light Source (ALS): moving data to the 
National Energy Research Scientific Computing Center (NERSC) across the 
Energy Sciences Network (ESnet), assembling automated processing 
workflows comprised of a variety of pre-existing and to-be-developed 
data analysis, manipulation, and visualization tools; stage data, data 
products, and analysis/visualization products for dissemination to 
individuals and communities via pre-existing and to-be-developed 
web-based technologies.

This position will be part of an experienced team conducting R&D in the 
areas of data-intensive, high performance, visualization, analysis, and 
data management. The candidate will be working as part of a 
multi-disciplinary team composed of computer, computational, and 
experimental scientists.

Specific responsibilities:
Design and implementation of a big data scientific workflow system 
capable of handling data volumes and complexity of current and 
next-generation ALS experiments and simulations. Design and 
implementation of a high-performance, large-data, data access and 
sharing system for ALS experimental data. Publish and present research 
results in journals and conferences.

Required qualifications/skills:
PhD in Computer Science or equivalent/related field, the degree must 
have been awarded in the past five years to be eligible for a 
postdoctoral researcher position.

Demonstrable research experience in one or more of the following areas: 
a) High-performance data management b) Scientific workflow, as evidenced 
by original, published work.

Demonstrated ability to design and implement high-quality software on a 
time-critical path, in one or more of the following programming 
languages and parallel libraries/languages/environments: C/C++, Python, 
Java, MPI, pthreads, OpenMP, OpenCL, CUDA, R.
Excellent oral and written communication skills.

Ability to work productively both independently and as part of a diverse 
team.

Additional desired qualifications/skills:
Software engineering tools: make, cmake, revision control systems (CVS, 
SVN, git), gdb.

Exposure to/experience with:
o   Web infrastructure software: DJango, NEWT (https://newt.nersc.gov/)
o   No-SQL database technologies, including use of as well as design and 
implementation: MongoDB

Prior work experience designing and implementing data movement and 
management, including use of Globus and Globus Sharing.
Familiarity with scientific data models/formats and I/O libraries: eg. HDF5


Notes

This is a 1-year postdoctoral appointment with the possibility of 
renewal based upon satisfactory job performance, continued funding and 
research needs. Background checks are required for all hires.

Berkeley Lab is an Affirmative Action/Equal Opportunity Employer 
committed to the development of a diverse workforce. Learn more at 
www.lbl.gov/.

The Mathematics and Computer Science (MCS) Division of Argonne
National Laboratory invites outstanding candidates to apply for the
J. H. Wilkinson Fellowship in Scientific Computing. The appointment is
for one year and may be renewed for another year.

This fellowship was created in memory of Dr. James Hardy Wilkinson,
F.R.S., who had a close association with the Mathematics and Computer
Science Division as a consultant and guiding spirit for the EISPACK
and LINPACK projects. The Wilkinson Fellowship is intended to
encourage scientists actively engaged in state-of-the-art research in
scientific computing. Candidates must have received a recent
Ph.D. prior to the beginning of the appointment. The benefits of the
appointment include a highly competitive salary, moving expenses, and
a generous professional travel allowance. For additional details,
including past recipients, see http://www.mcs.anl.gov/career-
opportunities/j-h-wilkinson-fellowship

The appointment will be in the MCS Division, which has strong programs
in scientific computing, software tools, and computational
mathematics. Of special interest are algorithms and software for
linear algebra, optimization, differential equations, computational
differentiation, stochastic systems, and unstructured mesh
computations; software tools for parallel computing; and numerical
methods for computational science problems. For further information,
see http://www.mcs.anl.gov/LANS/ .

Internationally recognized for innovative research in high-performance
computing, the MCS Division supports an excellent computational
environment that includes large Linux clusters, a distributed systems
laboratory, and a virtual environments laboratory.  Researchers also
have access to a Blue Gene/P supercomputer. For more information, see
www.mcs.anl.gov .

Argonne is located in the southwestern Chicago suburbs, offering the
advantages of affordable housing, good schools, and easy access to the
cultural attractions of the city.

Interested candidates should consult the website
http://www.mcs.anl.gov/career- opportunities/j-h-wilkinson-fellowship
details on how to apply. The application must include a curriculum
vitae; statement of research interests; a list of publications,
abstracts, and significant presentations; and three letters of
recommendation.  Applications will be accepted starting August 31,
2013. Applications received before December 15, 2013, are assured
maximum consideration. The closing date for applications is January
17, 2014. Application material will be reviewed by a selection
committee and a candidate announced in March 2014.

A position of a postdoctoral research fellow is available in the field
of scientific computing at the Chair of Applied Mathematics and
Numerical Analysis within the University of Wuppertal, Germany,
starting on November 1, 2013, or later, for a period of three years.

This position is part of the project nanoCOPS (Nanoelectronic Coupled
Problems Solutions) funded by the European Commission. The tasks
consist in numerical simulation of coupled problems for modelling
electronic building blocks (like circuits). The research fellow will
be located at the partner University of Greifswald, Germany, for the
most time of the project.

For more details on the scientific and personal requirements as well
as the duties and responsibilities, see
http://www-num.math.uni-wuppertal.de/en/amna/open-theses-and-positions/postdoc-
nanocops-project.html

Applications can be send by mail to Prof. Dr. Michael Günther,
Fachbereich C, D-42097 Wuppertal or by email (single pdf file, max.
5MB) to: guenther@math.uni-wuppertal.de

Closing date for applications: September 23, 2013.

Postdoctoral position at Memorial University of Newfoundland

The project ``High Performance Computing for Geophysical
Applications'', an interdisciplinary project between the Departments
of Earth Sciences, Mathematics and Statistics, and Physics and
Physical Oceanography at Memorial University of Newfoundland, is
seeking candidates for a Post-DoctoralFellowship position.

This project is developing computational mathematical methods and
software for the numerical modelling and inversion of geophysical data
using high-performance, multi-core, shared-memory computer
architectures that include GPUs and CPUs.Development is taking place
on a dedicated large-scale hybrid CPU-GPU cluster recently purchased
by the project.

Topics currently being pursued include: full waveform sharp boundary
inversion using global optimization approaches; level-set methods for
sharp boundary inversion; global optimization methods for well
placement in reservoir modelling; joint inversion; numerical modelling
of geophysical electromagnetic methods; adaptive mesh techniques and
domain decomposition.The Post-Doctoral Fellow would be expected to
contribute to one or more of these topics, or to develop a
complementary research area.

The successful candidate will have a Ph.D.  in Geophysics, Physics,
Mathematics, Applied Mathematics,Computational Science, or similar
discipline with a background in scientific computation and substantial
experience programming in Fortran or C/C.

Candidates who are in the final year of a Ph.D. programme and who will
have completed all the requirements for their programme by the start
date of the position will also be considered.

The position is initially for one year, with the expectation of
extension to a second year subject to budgetary constraints and
performance.

The start date is negotiable, but 1st January 2014 is preferred.Salary
will be commensurate with qualifications and experience.

For more information, or to apply for the position, please
contact:Dr. Ronald Haynes, Associate Professor, Department of
Mathematics and Statistics, Memorial University ofNewfoundland,
St. John's, NL, Canada.  Email: rhaynes@mun.ca

Applications should include a cover letter, curriculum vitae,
statement of research interests, and the names of three referees and
their contact information.

Post-doc Position in Scientific Computing - Brazil

The Center for Mathematical Sciences Applied to Industry (CEPID-
CeMEAI) has a post-doc position available for starting immediately.
The requirements for the position are described below. The salary is
R$5908,00 (USD 2500,00) per month tax free. The appointed Post- doc
will also get return travel from his/her country to Brazil paid by the
grant.  CeMEAI is a consortium of several Universities in São Paulo
State.  The position is initially for one year, renewable for a second
year pending on suitable performance.

Post-Doctoral Research Project
Aerodynamics Division - Instituto de Aeronautica e Espaço -
DCTA/IAE/ALA

Location: São José dos Campos – São Paulo State- Brazil

Title: Large Eddy Simulations and Aeroacoustics of Perfectly
Expanded Supersonic Jets
Supervisor: João Luiz F. Azevedo

Job Description/Requirements: The main objective of the present
research work is to study and develop a numerical methodology for the
prediction of acoustic propagation and radiation due to the
interaction of exhaust gases from rocket engines with the ambient air,
under perfectly expanded supersonic jet conditions. In general,
supersonic jet noise generation has three main mechanisms: (1) noise
due to turbulent mixture processes; (2) noise due to shock waves; and
(3) well-defined tonal noise or screech noise. In the present work,
since perfectly expanded jets are being considered, mechanisms (2) and
(3) can be neglected. Therefore, only the first mechanism will be
considered. It is commonly accepted that the mechanism of noise
emission of type (1) can adequately be described by hydrodynamic
instability theory, in which one can assume a slow evolution of the
mixing layer.

The present work will use hybrid methods in order to handle the
problem of interest. Hybrid methods compute sound generation and
propagation separately. Typically, computational fluid dynamics (CFD)
techniques are used to calculate the flow variables in the region
where the nonlinear acoustic sources are located. Such flow variables
are, then, used as initial data for sound propagation formulations
which will yield the noise levels at distant observers. Clearly, the
flow physical characteristics must be accurately captured by the CFD
method in order to use hybrid methods. Moreover, the turbulent
aerodynamic flows considered in the present work yield acoustic
sources in a broad regime of frequencies and spatial
scales. Therefore, large eddy simulation (LES) is the method of choice
for the calculation of the flows of interest, since this formulation
can capture the most energetic scales associated with noise
generation. The acoustic analogy formulation of Ffowcs Williams and
Hawkings (FWH) will be used for the acoustic calculations of sound
radiation due to the supersonic jet flows of interest.

Candidates must hold a doctoral degree in Aerospace or Mechanical
Engineering, or in a related area, with demonstrated experience in the
calculation of turbulent flows and/or aeroacoustics. They should
submit a comprehensive CV, which indicates their previous experience
especially as it relates to the subject matter of the present
proposal.

Interested candidates should e-mail a CV and two letters of
recommendation from university professors as soon as possible to:

Dr. João Luiz F. Azevedo
Aerodynamics Division
Instituto de Aeronáutica e Espaço
DCTA/IAE/ALA
12228-903 – São José dos Campos – SP – Brazil
E-mail: joaoluiz.azevedo@gmail.com
Office Phone No.: +55-12-3947-6488

Contract Condition: Grant from FAPESP under the Research,
Innovation and Dissemination Centers (RIDC-CeMEAI)
(http://www.fapesp.br/en/17,http://www.cemeai.icmc.usp.br/ )

The Computation Directorate at Lawrence Livermore National Laboratory
(LLNL) is soliciting applications for the Sidney Fernbach Postdoctoral
Fellowship in the Computing Sciences.  This fellowship will be awarded
to one outstanding candidate with exceptional talent, scientific track
record, and potential for significant achievements in computational
mathematics, scientific computing, or computer science.  The fellow
will have the freedom to pursue their own research agenda under the
guidance of an LLNL staff scientist who serves as a mentor.  The
appointment will be for one year with a possible renewal for a second
year.  Deadline for application is November 1, 2013.

Successful candidates will work in a cutting-edge, interdisciplinary
research environment with accomplished researchers and will also have
access to Livermore Computing’s world-class HPC environment.  Fellows
will receive a highly competitive salary, moving expenses, and a
professional travel allowance.

Interested applicants can find more information about eligibility,
benefits, and the application process on the Fernbach Fellowship web
page
(http://computation.llnl.gov/careers/postdocs/fernbach-postdoctoral-fellowship).

Lawrence Livermore National Laboratory is managed by Lawrence
Livermore National Security, LLC. for the National Nuclear Security
Administration within the Department of Energy.  We are an equal
opportunity employer with a commitment to workforce diversity.

Applications are now being accepted for MBI Postdoctoral Fellowships and Early Career Award

MBI postdoctoral fellows engage in a three-year integrated program of tutorials, working seminars or journal clubs, and workshops, and in interactions with their mathematical and bioscience mentors. These activities are geared toward providing the tools to pursue an independent research program with an emphasis on collaborative research in the mathematical biosciences. MBI facilitated activities are tailored to the needs of each postdoctoral fellow.

Early Career Awards enable recipients to be in residence at the Mathematical Biosciences Institute for stays of at least three months during an emphasis program. Details of the 2014-2015 programs can be found at http://mbi.osu.edu/annual_programs.html.

Early Career Awards are aimed at non-tenured scientists who have continuing employment and who hold a doctorate in any of the mathematical, statistical and computational sciences, or in any of the biological, medical, and related sciences.

An Early Career Award will be for a maximum of $7,000 per month of residency and for a maximum of nine months during the academic year. The award may be used for salary and benefits, teaching buyouts, and/or local expenses (restrictions apply).

Applications for an MBI Postdoctoral Fellowship and Early Career Award should be submitted online athttp://www.mathjobs.org/jobs/mbi.

Applications for an Early Career Award completed before December 2, 2013 will receive full consideration.
Applications for a postdoctoral fellowship completed before December 13, 2013 will receive full consideration.
The applicant should state the period that he or she would like to be in residence.

For additional information visithttp://www.mbi.osu.edu/postdoctoral/postdoctoral.html.

Apply now for the Luis W. Alvarez Postdoctoral Fellowship in Computing Sciences, sponsored by Lawrence Berkeley National Laboratory’s Computing Sciences Directorate. Researchers in computer science, applied mathematics or any computational science discipline who have received their Ph.D. within the last three years are encouraged to apply. Applications are due November 26, 2013 for Fall 2014.

 

About Computing Sciences at Berkeley Lab

Whether running trillions of calculations on a supercomputer or visualizing and analyzing massive datasets, scientists today rely on advances in computer science, mathematics, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences organization researches, develops, and deploys new tools and technologies to meet these needs and to advance research in such areas as global climate change, combustion, fusion energy, nanotechnology, biology, and astrophysics. 

 

Apply and learn more at: http://www.lbl.gov/alvarez.fellowship

The Computer Science and Mathematics (CSM) Division at the Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for the Alston S. Householder Fellowship in mathematics and scientific computing.  This prestigious Fellowship offers an excellent opportunity to conduct exceptional and innovative research in mathematics, statistics and scientific computing, for applications of national priority, utilizing the world’s most powerful extreme scale computing platforms, including TITAN (http://www.olcf.ornl.gov/titan/).

The Fellowship honors Dr. Alston S. Householder, founding director of the Mathematics Division (now CSM Division) at ORNL and recognizes his seminal research contributions to the fields of numerical analysis and scientific computing. Funding for the Householder Fellowship comes from the Applied Mathematics Group (AMG), which is supported by the Office of Advanced Scientific Computing Research (ASCR) of the U.S. Department of Energy (http://www.science.doe.gov/ascr).  Additional information about the AMG at ORNL can be found athttp://www.csm.ornl.gov/newsite/comp_math.html.  Each Householder Fellowship appointment is for one year with the option to renew for a second year. The fellowship offers collaborative research opportunities in active programs at ORNL, a highly competitive salary, moving expenses, and a generous professional travel allowance.  The selected individual will be mentored by a senior scientist within the AMG, but are encouraged to pursue their own research agenda, through access to the most advanced computer architectures, and opportunities to facilitate technology transfer from the laboratory research environment to industry and academia through training of new computational scientists.
The minimum required education is a Ph.D. in applied mathematics, statistics or computational science, but no more than four years beyond completion can be considered.  Applicants should also have a proven academic record of high quality research with clear potential to perform cutting edge, innovative research in applied mathematics, statistics and/or computational science.The successful candidate will have a strong background and expertise in more than one area of particular relevance to the AMG at ORNL. Principal research areas include: Multi-scale methods, including atomistic-to-continuum coupling; Computational kinetic theory; Computational fluid dynamics and turbulence; High-dimensional approximation theory; Large-scale iterative methods for linear and eigenvalue problems; Numerical methods for stochastic (partial) differential equations; Uncertainty quantification; Probability theory; Statistical sampling and design of experiments; Combinatorial optimization and graph theory; Computational geometry and mesh generation; Sparse methods for data analytics; High-order continuous and discontinuous methods for PDEs; Multi-resolution analysis.

Qualified applicants may apply online at 1.usa.gov/175lbQS<x-msg://740/1.usa.gov/175lbQS>.  Please contact Clayton Webster (webstercg@ornl.gov<mailto:webstercg@ornl.gov>) regarding any technical questions.  The application process will remain open from September 2, 2013 until November 31, 2013.  You must submit your application during this time to be considered.  This appointment is offered through Oak Ridge National Laboratory. This appointment is open to all qualified U.S. and non-U.S. citizens without regard to race, color, age, religion, sex, national origin, physical or mental disability, or status as a Vietnam-era veteran or disabled veteran.  U.S. citizenship and a security clearance are NOT required for this position.

The Computation Directorate at Lawrence Livermore National Laboratory (LLNL) is soliciting applications for the Sidney Fernbach Postdoctoral Fellowship in the Computing Sciences.  This fellowship will be awarded to one outstanding candidate with exceptional talent, scientific track record, and potential for significant achievements in computational mathematics, scientific computing, or computer science.  The fellowship is named after Sidney Fernbach, former Director of the Computation Department at LLNL and one of the pioneers in high performance scientific computing. The fellow will have the freedom to pursue their own research agenda under the guidance of an LLNL staff scientist who serves as a mentor.  The appointment will be for one year with a possible renewal for a second year.  

Successful candidates will work in a cutting-edge, interdisciplinary research environment with accomplished researchers and will also have access to Livermore Computing's world-class HPC environment.  Fellows will receive a highly competitive salary, moving expenses, and a professional travel allowance. 

LLNL is a premier research and development institution for science and technology applied to national security that has been a leader in scientific and high-performance computing for decades.  The Computation Directorate in the laboratory conducts world-class, collaborative scientific research and development in high performance computing, computational physics, numerical mathematics, computer science, and data science.  Major research thrust areas include scalable algorithms and software for linear and nonlinear solvers, partial differential equations, adaptive mesh refinement, verification and uncertainty quantification, large-scale data analysis, scientific visualization, performance tools, programming models, and compiler analysis. 

Interested applicants can find more information about eligibility, benefits, and the application process on the Fernbach Fellowship web page (http://computation.llnl.gov/careers/postdocs/fernbach-postdoctoral-fellowship).  Deadline for application is November 1, 2013.

Lawrence Livermore National Laboratory is managed by Lawrence Livermore National Security, LLC. for the National Nuclear Security Administration within the Department of Energy.  We are an equal opportunity employer with a commitment to workforce diversity.

The Future Technologies Group of the Berkeley Lab's Computational Research Division has an immediate opening for a postdoctoral fellow to work on research in energy efficient graph analysis and data mining. 

This project will explore methods to increase the energy efficiency of parallel graph algorithms and data mining tasks. A new family of algorithms will be developed to drastically reduce the energy footprint and running time of the graph and sparse matrix computations that form the basis of various data mining techniques.  This appointee will be part of an experienced research team and will be supported through a long-term DOE research grant. Deliverables will include proof-of-concept software implementations and publications targeted at top-tier research conferences and journals.

More information can be found in this flyer: http://gauss.cs.ucsb.edu/~aydin/75939_flier.pdf

Applications are accepted until the position is filled, and can be made here: 
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75939

319355: Postdoctoral Position in Data-intensive Analysis, Visualization, and Storage

This computer science postdoc will conduct basic and applied research in parallel and scalable algorithms for data analysis and visualization on HPC architecture, data models for storage and analysis of scientific data, and integration of methods in parallel scientific simulations. He or she will work as part of an integrated, multidisciplinary research team and will collaborate with computer and computational scientists at Argonne as well as in the broader community. The ideal candidate will have comprehensive knowledge in C/C++ programming under Unix/Linux, and experience in data analysis and/or scientific visualization, including one or more of the following: statistical analysis, graph analysis, data mining, visualization of scalar and vector multivariate data. Experience in software development for parallel computing is a plus. Candidates should have earned a Ph.D. in computer science within the past three years. 

 

To apply:

http://web.anl.gov/jobsearch/detail.jsp?userreqid=319355+MCS&lsBrowse=POSTDOC

 

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320882: Postdoctoral Position in Data Management and Analysis of X-Ray Microscopy

We seek a computer science postdoc to develop software to analyze images from synchrotron light sources such as the Advanced Photon Source at Argonne National Laboratory. The successful candidate will work as part of a multidisciplinary research team involving physicists, computer scientists, and mathematicians to develop software to be used by scientists at Argonne and at other US National Laboratories. The software will leverage local multi-core/GPU clusters or DOE Advanced Scientific Computing Research supercomputing facilities to perform near real-time reconstruction of ptychography datasets that result from scanning a high-energy X-Ray beam over material samples. The ideal candidate will have comprehensive knowledge in C/C++ programming under Unix/Linux and experience in data analysis, optics or signal processing, or numerical optimization. Communication skills for working in a multidisciplinary team environment and the ability to create, maintain, and support high-quality software are desired. Experience in software development for parallel computing is a plus. Candidates should have earned a Ph.D. in computer science within the past three years.

 

To apply:

http://web.anl.gov/jobsearch/detail.jsp?userreqid=320882+MCS&lsBrowse=POSTDOC

 

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321176: Postdoctoral Position in Data Analysis and Visualization of Superconductivity

We seek a postdoc in computer science to analyze and visualize simulations of superconductivity at Argonne National Laboratory. The successful candidate will work as part of a multidisciplinary research team involving physicists, computer scientists, and mathematicians to detect and track the temporal evolution of vortex dynamics in superconductors.  The postdoc will collaborate with members of the SciDAC SDAV Institute (http://www.sdav-scidac.org) and OSCon partnership (http://oscon-scidac.org) to detect, track, and view features at scale from large amounts of data in situ and in postprocessing. Algorithms will leverage multi-core/GPU clusters and DOE Advanced Scientific Computing Research supercomputing facilities. The ideal candidate will have comprehensive knowledge in C/C++ programming under Unix/Linux, and experience in data analysis and/or scientific visualization, including one or more of the following: topological analysis, feature detection, feature tracking, visualization of scalar and vector multivariate data. Experience in software development for parallel computing is a plus. Candidates should have earned a Ph.D. in computer science within the past three years.

 

To apply:

http://web.anl.gov/jobsearch/detail.jsp?userreqid=321176+MCS&lsBrowse=POSTDOC

The Visualization, Imaging and Computer Graphics Laboratory (VICG) of the
Institute of Mathematical and Computer Sciences - University of Sao Paulo - 
Sao Carlos/SP - Brazil  invites applications for two post-doctoral positions to
work in the project: "Challenges in Exploratory Visualization of Multidimensional Data: 
Paradigms, Scalability and Applications".  

The project, funded by Fapesp (Sao Paulo State research funding agency), aims
at advancing the state-of-the-art research in scientific and abstract data visualization, 
with emphasis in the processing and handling of high-dimensional, multimodal time-varying 
data. The novel paradigms to be developed shall provide advanced visual metaphors for 
visualizations based on multidimensional projection and phylogenetic trees, allowing for 
improved understanding and exploration of many types of data, including text, image, biological, 
music collections and nanoescale sensing data. An additional goal is to investigate data 
visualization and visual exploration methods suitable for execution on portable devices.

We are seeking a highly motivated postdoctoral fellow! Curiosity, open-mind, creativity, persistence, 
and collaborative-work capability are the key personal skills we target. A Ph.D. in 
computer science, applied mathematics, or related areas is required, with demonstrated 
experience and high quality publications. Candidates should have advanced programming skills 
and a solid background in mathematics.  Portuguese speaking is not required but fluency in 
English is mandatory.

Applicants are invited to submit a cover letter, curriculum vitae (including their full publication 
record), as well as reference letters (at least two) by email to 
Dr. Luis Gustavo Nonato - gnonato@icmc.usp.br. 
Applications will be open until September 15th.

Join a vibrant multidisciplinary research team of computer scientists,

physicists, and mathematicians in suburban Chicago and discover

parallel scalable algorithms for analysis, visualization, and data

management of ptychography in synchrotron light sources at Argonne

National Laboratory and other US National Labs. The resulting software

will leverage multi-core/GPU clusters and supercomputing facilities to

perform near real-time reconstruction of ptychography datasets.

Argonne's postdoc program, ranked 5th in the Scientist Magazine's 2013

survey of 30 best US postdoc programs, provides a rare opportunity to

grow your scientific skills while advancing your career.

The ideal candidate will have comprehensive knowledge in C/C++

programming under Unix/Linux and experience in data analysis, optics

or signal processing, or numerical optimization. Communication skills

for working in a multidisciplinary team environment and the ability to

create, maintain, and support high-quality software are desired.

Experience in software development for parallel computing is a plus.

Candidates should have earned a Ph.D. in computer science within the

past three years.

To apply, please visit:

http://web.anl.gov/jobsearch/detail.jsp?userreqid=320882+MCS&lsBrowse=POSTDOC

PostDoc Position in Computational Seismology and High-Performance Computing, Switzerland

A PostDoc position is available in the group "Advanced Computing Laboratory" at the Institute of Computational Science (ICS) in Lugano, Switzerland. The position is part of the project "GeoScale: A framework for multiscale seismic modelling and inversion" funded under the Swiss Platform for Advanced Scientific Computing (PASC). The PostDoc will work on a data management framework for the scalable parallel processing and measurement of large seismic waveform data sets directly on HPC systems. The project is conducted together with the research group from Prof. Andreas Fichtner (Geophysics) at ETH Zurich.

The Workplace
ICS at the Università della Svizzera italiana (USI) in Lugano provides a unique research environment in the fields of mathematical modeling, high-performance computing and numerical simulation. Strong competences in modeling, mathematics, simulation and information science come together in an open and application oriented atmosphere. In addition to the opportunities at USI and ICS, the Swiss-wide FoMICS graduate school and the Swiss National Supercomputing Centre (CSCS) in Lugano both offer excellent educational possibilities. For further information about ICS, please visit www.ics.inf.usi.ch.

Assignment
Complex multi-scale interactions are characteristic for the physics of the Earth, and their proper quantification is a key to the integration of inter-dependent geophysical systems that are today mostly treated as isolated. As part of the PASC Domain Science Network Solid Earth Dynamics, our goal is to address the challenge of multi-scale Earth modelling and inversion through a coordinated inter-disciplinary effort combined with long-term application support that ensures a sustained impact on the geoscientific community. Within the GeoScale project, the successful applicant will develop a data management framework for the scalable parallel processing and measurement of large seismic waveform data sets directly on HPC systems.

Qualifications
The PostDoc is expected to hold a PhD in Computer Science, Computational Mathematics or a related field with a focus on numerical simulation, and scientific and parallel computing. Experience in a programming language like C, C++, FORTRAN and scripting languages is mandatory. Documented interest towards HPC systems, seismic inversion, and nonlinear optimization is regarded as an advantage. Solid written and spoken English is required to publish results and present them at conferences and in journals.

Employment
This is initially a one-year time-limited position that can be extended up to three years with the inclusion of a maximum of 20% departmental duties, usually teaching. The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.

Application
Your application should contain a motivational letter (2 pages maximum), a CV, copies of relevant degrees and two contacts for references. Please submit applications electronically in PDF format to olaf.schenk@usi.ch