[Humanist] 27.202 jobs at Amsterdam, Ryerson (Toronto)

Humanist Discussion Group willard.mccarty at mccarty.org.uk
Wed Jul 10 22:12:27 CEST 2013

                 Humanist Discussion Group, Vol. 27, No. 202.
            Department of Digital Humanities, King's College London
                Submit to: humanist at lists.digitalhumanities.org

  [1]   From:    Sally Wyatt <sally.wyatt at ehumanities.knaw.nl>              (8)
        Subject: visiting fellowships in Computational Humanities, Amsterdam,
                deadline 1 November

  [2]   From:    Ray Siemens <siemens at uvic.ca>                             (83)
        Subject: Tier 2 CRCs in Big Data Analytics - Ryerson University

        Date: Wed, 10 Jul 2013 15:06:56 +0200
        From: Sally Wyatt <sally.wyatt at ehumanities.knaw.nl>
        Subject: visiting fellowships in Computational Humanities, Amsterdam, deadline 1 November

Visiting fellowships in Computational Humanities, based at the eHumanities Group, Royal Netherlands Academy of Arts and Sciences (KNAW)

Applications for 2014 now open!
These visiting fellowships are intended to enable scholars working in computational humanities to conduct research and to participate in the academic life of the eHumanities Group of the KNAW. Visiting fellowships are awarded for three months.
Preference will be given to candidates who can demonstrate an ability to contribute to one of the ongoing projects of the Computational Humanities Programme (see website for details - http://ehumanities.knaw.nl ). During their stay, fellows will be expected to make one presentation about their own research and to hold one workshop in which they provide training in a particular tool, method or approach.
Applicants should send their CV plus a two-page plan for their fellowship to Jeannette Haagsma (jeannette.haagsma at ehumanities.knaw.nl) by 1 November 2013. The plan should include which 3 months they would like to spend in Amsterdam (excluding July & August), and ideas for the presentation and workshop. Visiting fellowships are open to women and men from all countries who already have a PhD and a demonstrable record in computational humanities. Successful applicants will receive a stipendium of €10,000 (paid in three installments) plus the costs of one return journey from their home. Fellows will be expected to make their own tax, visa, insurance and accommodation arrangements, where necessary.

        Date: Wed, 10 Jul 2013 14:28:26 +0000
        From: Ray Siemens <siemens at uvic.ca>
        Subject: Tier 2 CRCs in Big Data Analytics - Ryerson University
        In-Reply-To: <244FC31DCC224B41B68E7204D0E06F15 at LauraPC>

From RyersonBigDataCRCs at lavernesmith.com

Tier 2 Canada Research Chairs in Big Data Analytics 

Ryerson University invites applications for two Tier 2 Canada Research
Chairs in Big Data Analytics: one focused on the technical aspects of Big
Data, and one focused on applications and implications of Big Data in
industry, government, health care, education and/or social services. Located
in downtown Toronto, Ryerson University is Canada's leader in innovative,
career-oriented education and a university clearly on the move. With a
mission to serve societal need, and a long-standing commitment to engaging
its community, Ryerson offers more than 100 undergraduate and graduate
programs. Distinctly urban, culturally diverse and inclusive, the University
has more than 38,900 students, including 2,300 master's and PhD students,
nearly 2,700 faculty and staff, and more than 140,000 alumni worldwide.
Research at Ryerson is on a trajectory of success and growth: externally
funded research has doubled in the past four years. Ryerson has more than
125 innovative research centres, institutes, and labs across a wide range of
disciplines, and it is home to 12 Canada Research Chairs. Guided by a bold
Academic Plan and a recent Master Plan to revitalize the campus and
surrounding neighbourhood, Ryerson is a comprehensive university with a
significant profile in higher education, and a strong reputation with
national business, government, community, and industrial leaders.

For more information, please visit www.ryerson.ca.

The Canada Research Chairs program was established by the Government of
Canada to enable Canadian universities to achieve the highest levels of
research excellence in the global, knowledge-based economy. Tier 2 Chairs
have five year terms, renewable once, and are intended for exceptional
emerging scholars (less than 10 years post-PhD) who have the acknowledged
potential to lead their research field. Information about the CRC program
can be found at www.chairs.gc.ca.

Collecting, aggregating, analyzing, and interpreting today’s vast amounts
of information is the challenge of Big Data, which is the focus of two new
multidisciplinary Canada Research Chairs at Ryerson. Ryerson already has a
number of scholars who are interfacing with industry to work on Big Data
problems in a variety of disciplines including mathematics, computer
science, engineering, science, information systems, business analytics,
finance, marketing, social media, decision sciences, digital humanities,
geographic information systems, policy, law and more. Ryerson is also a node
of the High Performance Computing Virtual Laboratory and home to the new
Centre for Cloud and Context-Aware Computing, so opportunities for
collaboration and the infrastructure to support those efforts are abundant.
The new Canada Research Chairs will serve as a focal point for building
capacity to use Big Data techniques to support research across disciplines
and to inform curriculum development.

Successful candidates will have original, innovative and high quality
research programs that fit with an emphasis on Big Data analytics and
Ryerson’s research themes and support Ryerson’s commitment to equity,
diversity, and inclusion in scholarship, pedagogy, and curriculum. For
Ryerson University’s research strategy, please visit
www.ryerson.ca/research/SRC%20Strategic%20Plan%202010-2013.pdf Areas of
research for the technical aspects/challenges CRC may include distributed
computing, algorithm development, integrated systems, network and database
architecture, and storage. The applications CRC will research and utilize
Big Data techniques to innovatively and creatively address the implications
and applications of Big Data in industry, government, health care and/or
social services. Both CRC holders will be well-established in terms of top
tier publications and research funding, with the capacity to liaise with
industry and create collaborative research programs within this highly
cross-disciplinary field.

Candidates will be appointed at the Assistant or Associate Professor rank
and will likely be cross-appointed to various faculties on campus, including
the Faculties of Science, Engineering and Architectural Science, Arts, and
the Ted Rogers School of Management. The successful applicant will develop
with Ryerson University the Canada Research Chair application for the
October 2013 deadline, with the goal of joining the University in July

Ryerson University is strongly committed to fostering diversity within our
community. We welcome those who would contribute to the further
diversification of our staff, our faculty and its scholarship including, but
not limited to, women, visible minorities, Aboriginal people, persons with
disabilities, and persons of any sexual orientation or gender identity.
Please note that all qualified candidates are encouraged to apply, but
applications from Canadians and permanent residents will be given priority.

Applications should include a letter of interest (incorporating a brief (1-2
page) five year research program plan and a record of teaching
effectiveness), curriculum vitae, and the names of three references (who
will not be contacted without consent of the candidate) and may be forwarded
electronically, in confidence, until July 31st to:

Laverne Smith & Associates Inc. 
1 Yonge Street, Suite 1801 
Toronto, Ontario
M5E 1W7 
RyersonBigDataCRCs at lavernesmith.com

*** Attachments:http://www.digitalhumanities.org/humanist/Attachments/1373486222_2013-07-10_siemens@uvic.ca_28444.2.pdf

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