[Air-L] Postdoc in Data Science Studies

[Megan Finn]

Postdoc in Data Science Studies
University of Washington, eScience Institute

The eScience Institute at the University of Washington (UW) in Seattle seeks a qualitative researcher of data-intensive technologies and practices for a postdoctoral research associate position, starting in Autumn of 2019. The hired candidate will work with Research Scientist Anissa Tanweer at the eScience Institute, in collaboration with Associate Professor of Human-Centered Design and Engineering David Ribes and Assistant Professor of Information Megan Finn, both also at the University of Washington. The postdoc is a full-time position available for one year (12 months).

Review of applicants will begin immediately and the position will remain open until filled. Please check the web version of this job announcement to find out if the postdoc is still available, as it will be updated when the position is filled: https://escience.washington.edu/postdoc-data-science-studies/.

Requirements:

  *   PhD awarded by anticipated start date (September-December 2019) in fields such as science and technology studies, information studies, communication, history, anthropology, media studies, geography or related disciplines.
  *   Commitment to collaborating on research and publications.
  *   Excitement about working on a multidisciplinary team.
  *   Excellent organizational and planning skills.
  *   Outstanding qualitative (e.g. ethnographic, interview, oral history, archival) research skills.
  *   Strong publication record.
  *   Familiarity with the cultural, organizational, or ethical dimensions of data-intensive technologies and practices.
Preferences:

  *   Experience conducting and analyzing interviews a plus.
  *   Familiarity with sociotechnical theory and perspectives beneficial.
  *   Experience organizing seminars, workshops, programs, or other events appreciated.
Job Description:
The successful candidate will join the multi-disciplinary Data Science Studies community at the University of Washington and contribute to ongoing research on the practice and culture of data science. The position has been designed as a training opportunity for a recent graduate entering the job market, and as such offers a balance of carefully-scoped supervised research activities, networking opportunities with scholars at UW and beyond, and ample time to produce publications based on previous doctoral work:

1) One aspect of the position will involve conducting follow-up interviews and analysis with established research participants in an ongoing ethnographic study of data science practice and culture. The project is concerned with social and technical challenges associated with adopting, integrating, and sustaining data-intensive technologies; emergent organizational arrangements accompanying the uptake of data science approaches; and sense-making around ethical issues implicated in data-intensive methods and systems. The postdoc’s interview study will complement five years of ethnographic fieldwork examining cross-sector collaboration in “Data Science for Social Good” programs.

2) A second aspect of the position will involve participation in activities of the Data Science Studies<https://sites.google.com/s/1bDuYausFzWBVy7g006kd3IkNFSvQtljq/p/1EFikCbHNntH4A50KlCtPFqj3E9YQD8tA/edit> community on campus. This includes organizing the campus visits of invited speakers for the Data Then and Now<https://sites.google.com/uw.edu/data-science-studies/home/activities/data-then-and-now-seminar?authuser=0> seminar series.  The postdoc will also be involved in other Data Science Studies activities, which may include discussion groups, workshops, special interest group meetings, etc.

3) The third aspect of the position involves working on the postdoc’s own research and publications. The ideal candidate’s scholarship will be broadly relevant to the interests of the position’s supervisors and the Data Science Studies community, as there will be plenty of opportunities to engage on works-in-progress.

About us:
The location of the position is in Seattle, WA. The postdoc will be part of the research community centered around the eScience Institute<https://escience.washington.edu/> at the University of Washington, which holds numerous seminars and training activities on data-intensive methods, fosters interdisciplinary collaboration, supports cohorts of graduate students and postdocs from a wide range of data-intensive fields, and houses the Data Science Studies Special Interest Group. The postdoc will be co-advised by David Ribes of Human-Centered Design and Engineering, and Megan Finn of the Information School and will have access to the activities and intellectual communities in those units, including the Data Ecologies (deLAB)<https://www.dataecologi.es/> run by David Ribes and the DataLab<https://datalab.ischool.uw.edu/> with which Megan Finn is a member.

The University of Washington (UW) is proud to be one of the nation’s premier educational and research institutions. Our people are the most important asset in our pursuit of excellence in education, research, and outreach. Our employees not only enjoy outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty.

Compensation:
The position comes with a base salary of US$65,000, plus benefits and $4,000 in travel money that may be used for relocation expenses (taxable income) or for conference travel (non-taxable). Additional sources of money will be available for professional development expenses on a discretionary basis.

To apply:
Interested applicants should send a single pdf document to Anissa Tanweer <tanweer at uw.edu<mailto:tanweer at uw.edu>>, David Ribes <dribes at uw.edu<mailto:dribes at uw.edu>>, and Megan Finn <megfinn at uw.edu<mailto:megfinn at uw.edu>>. This document should include:

  *   1-2 page letter of interest that clearly articulates how the candidate’s interests and expertise align with each of the three activities outlined in the job description
  *   CV
  *   Writing sample
  *   Names and contact information of three references


The University of Washington and the International Union, Automobile, Aerospace and Agricultural Implement Workers of America, Local 4121 (UAW 4121) currently are negotiating their first collective bargaining agreement for Postdoctoral Scholars. Employees in this title are represented by UAW 4121 and will be subject to the applicable collective bargaining agreement, unless agreed exclusion criteria apply. For more information and updates on the bargaining process, please visit https://hr.uw.edu/labor/unions/uaw/postdoc-negotiationupdates.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. For more information, see https://ap.washington.edu/eoaa/equal-opportunity-and-accommodation-statements.



Postdoc in Data Science Studies
University of Washington, eScience Institute

The eScience Institute at the University of Washington (UW) in Seattle seeks a qualitative researcher of data-intensive technologies and practices for a postdoctoral research associate position, starting in Autumn of 2019. The hired candidate will work with Research Scientist Anissa Tanweer at the eScience Institute, in collaboration with Associate Professor of Human-Centered Design and Engineering David Ribes and Assistant Professor of Information Megan Finn, both also at the University of Washington. The postdoc is a full-time position available for one year (12 months).

Review of applicants will begin immediately and the position will remain open until filled. Please check the web version of this job announcement to find out if the postdoc is still available, as it will be updated when the position is filled: https://escience.washington.edu/postdoc-data-science-studies/.

Requirements:

  *   PhD awarded by anticipated start date (September-December 2019) in fields such as science and technology studies, information studies, communication, history, anthropology, media studies, geography or related disciplines.
  *   Commitment to collaborating on research and publications.
  *   Excitement about working on a multidisciplinary team.
  *   Excellent organizational and planning skills.
  *   Outstanding qualitative (e.g. ethnographic, interview, oral history, archival) research skills.
  *   Strong publication record.
  *   Familiarity with the cultural, organizational, or ethical dimensions of data-intensive technologies and practices.
Preferences:

  *   Experience conducting and analyzing interviews a plus.
  *   Familiarity with sociotechnical theory and perspectives beneficial.
  *   Experience organizing seminars, workshops, programs, or other events appreciated.
Job Description:
The successful candidate will join the multi-disciplinary Data Science Studies community at the University of Washington and contribute to ongoing research on the practice and culture of data science. The position has been designed as a training opportunity for a recent graduate entering the job market, and as such offers a balance of carefully-scoped supervised research activities, networking opportunities with scholars at UW and beyond, and ample time to produce publications based on previous doctoral work:

1) One aspect of the position will involve conducting follow-up interviews and analysis with established research participants in an ongoing ethnographic study of data science practice and culture. The project is concerned with social and technical challenges associated with adopting, integrating, and sustaining data-intensive technologies; emergent organizational arrangements accompanying the uptake of data science approaches; and sense-making around ethical issues implicated in data-intensive methods and systems. The postdoc’s interview study will complement five years of ethnographic fieldwork examining cross-sector collaboration in “Data Science for Social Good” programs.

2) A second aspect of the position will involve participation in activities of the Data Science Studies<https://sites.google.com/s/1bDuYausFzWBVy7g006kd3IkNFSvQtljq/p/1EFikCbHNntH4A50KlCtPFqj3E9YQD8tA/edit> community on campus. This includes organizing the campus visits of invited speakers for the Data Then and Now<https://sites.google.com/uw.edu/data-science-studies/home/activities/data-then-and-now-seminar?authuser=0> seminar series.  The postdoc will also be involved in other Data Science Studies activities, which may include discussion groups, workshops, special interest group meetings, etc.

3) The third aspect of the position involves working on the postdoc’s own research and publications. The ideal candidate’s scholarship will be broadly relevant to the interests of the position’s supervisors and the Data Science Studies community, as there will be plenty of opportunities to engage on works-in-progress.

About us:
The location of the position is in Seattle, WA. The postdoc will be part of the research community centered around the eScience Institute<https://escience.washington.edu/> at the University of Washington, which holds numerous seminars and training activities on data-intensive methods, fosters interdisciplinary collaboration, supports cohorts of graduate students and postdocs from a wide range of data-intensive fields, and houses the Data Science Studies Special Interest Group. The postdoc will be co-advised by David Ribes of Human-Centered Design and Engineering, and Megan Finn of the Information School and will have access to the activities and intellectual communities in those units, including the Data Ecologies (deLAB)<https://www.dataecologi.es/> run by David Ribes and the DataLab<https://datalab.ischool.uw.edu/> with which Megan Finn is a member.

The University of Washington (UW) is proud to be one of the nation’s premier educational and research institutions. Our people are the most important asset in our pursuit of excellence in education, research, and outreach. Our employees not only enjoy outstanding benefits and professional growth opportunities, but also an environment noted for diversity, community involvement, intellectual excitement, artistic pursuits, and natural beauty.

Compensation:
The position comes with a base salary of US$65,000, plus benefits and $4,000 in travel money that may be used for relocation expenses (taxable income) or for conference travel (non-taxable). Additional sources of money will be available for professional development expenses on a discretionary basis.

To apply:
Interested applicants should send a single pdf document to Anissa Tanweer <tanweer at uw.edu<mailto:tanweer at uw.edu>>, David Ribes <dribes at uw.edu<mailto:dribes at uw.edu>>, and Megan Finn <megfinn at uw.edu<mailto:megfinn at uw.edu>>. This document should include:

  *   1-2 page letter of interest that clearly articulates how the candidate’s interests and expertise align with each of the three activities outlined in the job description
  *   CV
  *   Writing sample
  *   Names and contact information of three references


The University of Washington and the International Union, Automobile, Aerospace and Agricultural Implement Workers of America, Local 4121 (UAW 4121) currently are negotiating their first collective bargaining agreement for Postdoctoral Scholars. Employees in this title are represented by UAW 4121 and will be subject to the applicable collective bargaining agreement, unless agreed exclusion criteria apply. For more information and updates on the bargaining process, please visit https://hr.uw.edu/labor/unions/uaw/postdoc-negotiationupdates.

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. For more information, see https://ap.washington.edu/eoaa/equal-opportunity-and-accommodation-statements.





________________________________
From: Air-L <air-l-bounces at listserv.aoir.org> on behalf of Tero Karppi <tero.karppi at gmail.com>
Sent: Thursday, July 18, 2019 10:35 AM
To: air-l at listserv.aoir.org
Subject: [Air-L] Assistant Professor - Digital Marketing, University of Toronto Mississauga

Assistant Professor—Digital Marketing

Tenure-track

University of Toronto Mississauga

Institute of Communication, Culture, Information & Technology

Application deadline: October 1, 2019, 11:59 pm

Apply online: https://utoronto.taleo.net/careersection/10050/jobdetail.ftl?job=1902279&tz=GMT-04%3A00&tzname=America%2FNew_York

The Institute of Communication, Culture, Information and Technology
(ICCIT) at the University of Toronto Mississauga invites applications
for a full-time tenure-stream appointment in the area of Digital
Marketing, at the rank of Assistant Professor. The position start date
is July 1, 2020.

Candidates must have a PhD in a related discipline with a curricular
emphasis in marketing, management, business administration,
communications/media, or information, or a related discipline by the
time of appointment (or shortly thereafter). Candidates must have a
demonstrated record of excellence in research and teaching. They must
demonstrate an active and excellent research program emphasizing the
role of technology in marketing; an emerging reputation in a
marketing-related field with a demonstrated ability to attract
research funding; and a good publication record in top-ranked and
field relevant scholarly journals; as well as through strong
endorsements from referees of high standing. Excellence in teaching
can be demonstrated by the teaching dossier outlining experience and
accomplishments, a statement of teaching philosophy, sample syllabi,
and teaching evaluations, as well as strong letters of reference is
also required. The successful candidate will have a graduate
appointment in one of the University of Toronto's tri-campus graduate
departments such as the Rotman School of Management or the Faculty of
Information's iSchool.

The successful candidate will have experience researching and teaching
in the area of digital marketing, including but not limited to, market
research, campaign management, strategic planning, brand management,
as examples. Candidates should have an active program of research that
considers how marketing principles and practices are impacted by
emergent technologies giving rise to platforms such as e-commerce,
social media, user-generated content, peer-based evaluation systems,
and mobile technologies.

Salary will be commensurate with qualifications and experience.

ICCIT focuses on teaching and research excellence in its three
undergraduate programs: Communication, Culture, Information and
Technology, Digital Enterprise Management and Professional Writing and
Communication. ICCIT is building a research complement in the theory
and practice of communication, interactive and immersive digital media
and culture, new media design, and management in/of technology
organizations. The successful applicant will join a vibrant
intellectual community of world-class scholars at Canada’s leading
university. For information, please visit www.utm.utoronto.ca/iccit<http://www.utm.utoronto.ca/iccit>

Equity and diversity are among UTM’s core values and are essential to
academic excellence. We seek candidates who value diversity and whose
research, teaching and service bear out our commitment to equity.
Candidates are therefore also asked to submit a 1-2 page statement of
contributions to equity and diversity, which might cover topics such
as (but not limited to): research or teaching that incorporates a
focus on underrepresented communities, the development of inclusive
pedagogies, or the mentoring of students from underrepresented groups.

To be considered for this position, all application materials must be
submitted online by October 1, 2019. Submission guidelines can be
found at http://uoft.me/how-to-apply.
Applications must include the documents listed below, formatted as 3
attachments with naming convention LastnameFirstname_CV_Statement.pdf,
LastnameFirstname_Writing.pdf, etc.:
Attachment 1: Cover Letter, CV and Research Statement
Attachment 2: Writing Sample (ONE peer-reviewed, first- or sole-author
scholarly work demonstrating significant contribution to the field of
Digital Marketing; do not submit entire doctoral theses)
Attachment 3: Teaching Dossier (Max. 20 pages, may include list of
courses taught, sample syllabi, course evaluation data summary,
statement of teaching philosophy, etc.)
Applicants must have three referees send letters of recommendation
directly to Professor Rhonda McEwen, ICCIT Director, University of
Toronto Mississauga via email (on letterhead, dated, signed and
scanned) to iccit.utm at utoronto.caby the closing date, October 1, 2019.

The University of Toronto is strongly committed to diversity within
its community and especially welcomes applications from racialized
persons / persons of colour, women, Indigenous / Aboriginal People of
North America, persons with disabilities, LGBTQ persons, and others
who may contribute to the further diversification of ideas.

Candidates are asked, as part of their application, to complete a
brief Diversity Survey. This survey is voluntary. Any information
provided is confidential and cannot be accessed by search committees
or human resources staff. Results will be aggregated for institutional
planning purposes. For more information, please see http://uoft.me/UP.

All qualified candidates are encouraged to apply; however, Canadians
and permanent residents will be given priority.
_______________________________________________
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