Postdoc Barcelona social simulation and Roman economy

This position might be of interest to those with some strong computer science skills. The roman EPnet project is fantastic and allows you to work with some great network scientists to study the Roman economy. And Barcelona is not a bad place to live either 🙂

Apply here.

POSITION:

Social Simulation – Senior Postdoctoral Researcher – R3 – Established Researcher

CLOSING DATE:

Monday, 15 August, 2016

AREA:

Computer Applications in Science & Engineering CASE

JOB DESCRIPTION:

 

About BSC

BSC-CNS (Barcelona Supercomputing Center – Centro Nacional de Supercomputación) is the National Supercomputing Facility in Spain and manages MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC-CNS is to investigate, develop and manage information technology in order to facilitate scientific progress. With this aim, special dedication has been taken to areas such as Computer Sciences, Life Sciences, Earth Sciences and Computational Applications in Science and Engineering

Look at the BSC experience:

BSC-CNS YouTube Channel

BSC-CNS Corporate Video

Let’s stay connected with BSC Folks!

 

Context and Mission of the role

The Social Simulation group from the Computer Applications & Engineering Department at the Barcelona Supercomputing Center is offering a postdoc position on Computer Science available in the ERC-project “EPNet. Production and Distribution of Food during the Roman Empire: Economic and Political Dynamics” (http://www.roman-ep.net/). The project involves an exciting opportunity to work in an interdisciplinary project aimed to explore the use of computer simulation in the study of human behavior.

The candidate would contribute to the creation of new social simulation paradigms through research and development of Pandora, a new open-source Agent-Based Modelling framework, currently being developed at BSC: http://www.bsc.es/computer-applications/pandora-hpc-agent-based-modelling-framework Also, have to be interested in the use of mathematical techniques in social sciences. Specifically in the use of statistical modeling, artificial intelligence and game theory to model social phenomena.

 

Responsibilities

• Integration in the development team that is creating and maintaining the Pandora framework.
• Full responsibility on statistical analysis of archaeological data.
• Development of computer simulations designed to explore trade dynamics and cultural evolution.
• Supervision of PhD Students

 

Requirements

• Education
•  PhD in Applied Mathematics or Computer Science

 

• Knowledge and professional experience
• C/C++ and Python programming languages
• MPI/OpenMP protocols
• GNU/Linux
• Advanced Statistics
• Experience with agent based models and Bayesian statistics
• Experience in the use of simulation applied to archeological research and cultural modeling will be highly valuated. Especially if it is applied to archeological sites of the Roman empire

 

Competences

In order to be successful in this role the candidate should have:

• Excellent written and verbal communication skills in English
• Able to have a conversation in Spanish
• Ability to work in a professional environment within a multidisciplinary and international team
• Knowledge of design principals to improve visual communication of data. Knowledge of design software (e.g. Illustrator, Photoshop, InDesign) will be valued

 

Conditions

• The position will be located at BSC within the CASE department in collaboration with the specific program coordinator
• A competitive salary will be provided, matched to the cost of living in Barcelona, depending on the value of the candidate
• Duration of the contract: temporary
• Starting date: asap

 

Applications Procedure

All applications must be done through the BSC website including:

1. Motivation letter and a statement of interest, including two recommendation letters or contacts
2. A full CV including contact details

 

Diversity and Equal Opportunity Employment

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law

Postdoc Digital Heritage and Archaeology/History, University of South Florida

This postdoc in Digital Heritage and Archaeology/History at The Center for Virtualization and Applied Spatial Technologies (CVAST), University of South Florida, might be of interest to readers of this blog.

Post-Doctoral position in Digital Heritage and Archaeology/History.

 

The Center for Virtualization and Applied Spatial Technologies (CVAST)

University of South Florida

 

The Center for Virtualization and Applied Spatial Technologies (CVAST) at the University of South Florida seeks to fill a 2-year (may be extended), full-time Post-Doctoral position in digital heritage and digital science.

PhD in History, Archaeology, Anthropology, Paleontology or related field is required.

The candidate will have expertise in some aspects of virtual reality, 3D laser scanning, LIDAR, UAVs, scientific visualization, or photogrammetry as applied to field and online heritage research and education. The candidate must have a record of publication and field activities. Ability to write well and contribute to external funding proposals is important. Experience in the archaeology of the Mediterranean, North America, or Latin America preferred but not exclusive.

The Center for Virtualization and Applied Spatial Technologies (CVAST) is an interdisciplinary unit tasked with creating an integrated approach for digital research and education efforts at the University of South Florida. CVAST is also a global center for research and the application of digital techniques to science and humanities research with projects throughout Europe, Latin America, North America, and the Arctic. The candidate will be expected to pursue international digital projects, funding, and publication, and will be expected to participate and contribute to the Center’s $9.6 million Hitz Project for Advanced Virtualization, Education and the Democratization of Science. Overseas travel and research required.

About CVAST:

The University of South Florida’s Center for Virtualization and Applied Spatial Technologies works to document, preserve, and protect the world’s cultural and natural heritage through the use of digital visualization, geospatial technologies, informatics, and 3D virtualization. Central to our mission is the democratization of science and the facilitation of scientific research, collaboration, and education by

delivering digital data and heritage resources to the global community.

About USF:

The University of South Florida is a high-impact, global research university dedicated to student success. USF is a Top 50 research university among both public and private institutions nationwide in total research expenditures, according to the National Science Foundation. Serving nearly 48,000 students, the USF System has an annual budget of $1.5 billion and an annual economic impact of $4.4 billion. USF is a member of the American Athletic Conference.

Salary is $50,000 per year plus benefits. Position will be filled as soon as there is an excellent candidate. To apply send cover letter, vitae, and names/emails of three references to Professor Herbert Maschner, Executive Director, CVAST, University of South Florida: maschner@usf.edu.

———- Forwarded message ———-
From: Maschner, Herbert <maschner@usf.edu>
Date: Sun, Jun 26, 2016 at 8:16 AM
Subject: USF CVAST POST DOC RESEARCHER digital heritage
To: “saa-ddig@list.matrix.msu.edu” <saa-ddig@list.matrix.msu.edu>

USF CVAST POST DOC RESEARCHER IN DIGITAL HERITAGE, ARCHAEOLOGY, OR RELATED DISCIPLINE. $50,000 PER YEAR. PLEASE SEE ATTACHED. PLEASE FORWARD TO APPROPRIATE LISTS. THANKS, HERBERT

Herbert Maschner, Professor and Executive Director

Center for Virtualization and Applied Spatial Technologies (CVAST)

University of South Florida, 4202 E. Fowler Ave., NES 107
Tampa, Florida 33620
office in 302 NES: 813.974.7989  cell: 208.244.1421

maschner@usf.edu
https://www.researchgate.net/profile/Herbert_Maschner

DH position Amsterdam

This position might be of interest to those reading this blog. It mentions network analysis as an important skills to have and welcomes applications from Humanities researchers.

Digital Humanities researcher,

KNAW Humanities Cluster,

Huygens Institute,

The Netherlands

Dear all,

For the KNAW Humanities Cluster, digital humanities is not a research area unto itself, but rather an area that focuses on developing digital methods to support humanities research. These methods will be employed in addition and complementary to existing research methods to further strengthen our research and to achieve ground-breaking results.

Methodologically, we believe that there is a great deal to be expected for our research from developments in three specific areas in particular: text analysis, network analysis and visualisation. We would like to focus on these areas in our joint approach. Additionally, attention will be given to other innovative techniques such as system and data modelling (e.g. Linked Open Data), computational (meta) data analysis, machine learning techniques (e.g. deep learning) and information retrieval. At least one of the researchers to be hired will focus primarily on linguistic text analysis.

For the Digital Humanities Group, we are looking for researchers with an outstanding track record in Digital Humanities. This can be either a humanities researcher with a clear Digital Humanities profile or a computer scientist with demonstrable significant interest in the humanities.

Qualifications

• an impressive research CV, including a dissertation, in the area of digital humanities;

• demonstrable affinity and experience on a methodological level and with innovative techniques;

• demonstrable ability to build a bridge between computational research and humanities, including working together with both groups of scientists;

• ability to cooperate in a stimulating and creative manner with other researchers;

• demonstrable ability to obtain external research subsidies.

Employer

The Huygens Institute for the History of the Netherlands, the International Institute of Social History and the Meertens Institute are research institutes in the humanities that are part of the Royal Netherlands Academy of Arts and Sciences (KNAW). These institutes closely work together, among others in offering an infrastructure for digital humanities research in the Netherlands. The institutes are going to further strengthen the cooperation in the area of digital humanities in the KNAW Humanities Cluster. In that context, Huygens ING and the Meertens Institute will move to shared accommodation in Amsterdam city centre at the end of 2016. The institutes have relatively large ICT departments and have been active in the area of digital humanities research for some time and in the construction of the requisite infrastructure to do so in projects such as CLARIAH.

With the clustering of the three institutes to form the KNAW Humanities Cluster, a core of researchers will be formed, the Digital Humanities Group, which will be a crystallisation point for the digital humanities research of the cluster. The Digital Humanities Group shall consist of both existing staff members of the three institutes and new employees to be recruited.

Additional information

For more information, please contact Lex Heerma van Voss (Director of Huygens ING) at lex.heermavanvoss@huygens.knaw.nl<mailto:lex.heermavanvoss@huygens.knaw.nl> or by calling +31(0)70–3315800. You can find information about the three institutes for the Huygens ING at http://www.huygens.knaw.nl; for the IISH at http://www.socialhistory.org; and for the Meertens Institute at http://www.meertens.knaw.nl.

A link to the original profile of the positions can be found here: https://www.academictransfer.com/employer/KNAW/vacancy/34615/lang/en/

—

Rombert Stapel

Postdoctoral researcher at the International Institute of Social History

 

Network analysis at CAA NL-FL-DE in Ghent

It’s not often that I get to see network analysis as one of the themes in an archaeological conference! So I’m delighted to see it feature so prominently at this year’s joint meeting of the CAA Netherlands/Flanders and Germany joint meeting. I presented at the conference last year and can definitely recommend it. Do consider submitting an abstract or attending. There’s also a LIDAR workshop for those who are into that.

When? 24-25 November 2016

Where? Ghent, Belgium

Deadline Call for Papers: 1 September 2016

Joint Chapter Meeting CAA-DE and CAA-NL-FL 2016.

Ghent University, November 24th – November 25th, 2016

CAA Netherlands/Flanders is pleased to inform you that the 2016 Joint Chapter Meeting of CAA Netherlands/Flanders and CAA Germany will be held in in Ghent, Belgium, November 24–25, 2016, in collaboration with the Department of Archaeology of Ghent University and the Flemish Heritage Agency. This conference will be the fourth in a row after three successful conferences in Münster (2010), Groningen (2012) and Cologne (2014). Like in previous years, participation is not limited to members of both CAA chapters but open to all interested colleagues. Students are especially welcome to attend.

The aim of the CAA meetings is to bring together academic and commercial archaeologists with a particular interest in using mathematics and computer science for archaeological research. For the 2016 Joint Chapter Meeting of CAA, we kindly invite papers focussing on the following themes (for details see below):

• Statistical Analysis / Network Analysis in Archaeology
• Remote Sensing and Landscape Archaeology
• Digital Archaeology and the Wider Public
• Archival and Management of (3D) Archaeological Data

The conference will be preceded by a LiDAR-workshop (November 23rd, 2016). During this workshop, participants will learn what LiDAR data is, how to effectively work with LiDAR (e.g. by building digital elevation and surface models and by looking into different LiDAR visualisation and analysis techniques), and how to use it for archaeological research.

Location
The venue will take place in the Virginie Lovelinggebouw (VAC) in Ghent, located immediately next Ghent’s main train station (Gent-Sint-Pieters).
Address:
Virginie Lovelinggebouw (VAC)
Koningin Maria Hendrikaplein 70
9000 Gent
Belgium
http://www.vlaanderen.be/nl/vlaamse-overheid/virginie-lovelinggebouw-vac…

Programme
November 23rd, 14h – 18h: LiDAR workshop
November 24th, 09h – 18h: Conference
November 25th, 09h – 18h: Conference

Abstract Submission Guidelines
We welcome proposals for 20 minute papers on any of the above topics. Abstract in English should be sent to meeting2016@caanlfl.nl, by (September 1st, 2016). Abstracts will be considered by the committees of CAA NL/FL and CAA DE. Abstract should include name and surname, university, institute or company (if applicable), address and telephone number, e-mail, session for which is applied, and abstract text (max 500 words).

Prices

• Early bird registration: € 30 (students: € 20)
• Regular: € 40 (students: € 25)
• LiDAR workshop: € 10

Register early as space is limited.

Important Dates

• September 1st, 2016: Deadline for Abstract Submission
• October 1st, 2016: Notification of Acceptance
• September 15th, 2016 to October 30th, 2016: Early Bird Registration
• November 1st, 2016: Regular registration

Conference Topics
Statistical Analysis / Network Analysis in Archaeology
Archaeological research relies on large and diverse datasets. Directly analysing or comparing these datasets to detect meaningful trends or patterns is often not ‘easy’ or straightforward. Statistical and quantitative methods can provide valuable methods in this respect, when applied in a critical manner. Apart from such approaches, in recent years also network analysis has risen as a means for examining the structure of archaeological relationships and deciphering the complexity of archaeological datasets.
This session will explore the current state of the art of these methods, and showcase some best practices in applying these approaches to archaeological data.

Remote Sensing and Landscape Archaeology
Archaeology predominantly used to focus on the study of excavations results of ‘sites’, i.e. locations in the landscape with concentrations of past activities. The rise of ‘landscape archaeology’ and the widespread and ever increasing application of remote sensing methods since the 1980’s has shifted this focus to wider geographical frameworks, allowing for a more ‘holistic’ approach regarding the study of past activities in the natural and ‘cultural’ landscapes. In recent years, the amount, quality and resolution of remote sensing datasets (LiDAR, multi- and hyperspectral photography, geophysical techniques…) has increased enormously.
This session focuses on how to cope with these large amounts of remote sensing data and how an integrated and/or innovative approach of these technologies can lead to new insights of past landscapes.

Digital Archaeology and the Wider Public
In the last decades, there is a trend in the archaeological community to increase public awareness and involvement. Even though the connection with one’s past is very clear, public interest in archaeology remains limited.
Digital technologies increasingly introduce new possibilities of communicating with the public. This session focuses on how interactive, 3D and 4D technologies can help in communicating the results of archaeological research to a broad public, help to improve the awareness of archaeological research, and help to improve public engagement or participation in the archaeological community.

Archival and Management of (3D) Archaeological Data
In recent years, the practice of archaeological fieldwork evolved from two-dimensional pen and paper recordings over digital documentation towards full three-dimensional documentation. This challenges not only the application of new practices of fieldwork, but also the way these new digital archives are used and managed. Several problems arise, for example regarding the evolution of software, the durability of digital carriers and data formats. This session aims to deal with the challenges of new ways of data collection and analysis and the consequences for long-term data use, management, archiving and accessibility.

LiDAR-workshop
During this preconference workshop, participants will learn what LiDAR data is, how to effectively work with LiDAR (e.g. by building digital elevation and surface models and by looking into different LiDAR visualisation and analysis techniques), and how to use it for archaeological research.