Humanist Discussion Group, Vol. 38, No. 81.
Department of Digital Humanities, University of Cologne
Hosted by DH-Cologne
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
Date: 2024-07-25 05:45:10+00:00
From: Daniel Wilson <daniel@DANIELWILSON.INFO>
Subject: 2 Year PostDoc in Humanities & SocialSciences for A.I. in London [7th August Deadline]
Soon-to-be or recently doctored list members may be interested in this
role. I’m not directly involved so happy to answer any general questions.
Daniel
https://cezanneondemand.intervieweb.it/turing/jobs/research-associate-
humanities-and-social-sciences-in-humanai-teaming-43993/en/
Position
We are recruiting a Research Associate to conduct research of excellent
quality on the fundamentals of human–AI collaboration and interaction,
and introduce humanities and social science perspectives to the study of
human-AI teaming. You will investigate the potential for a holistic
approach to enhance technological innovation while also ensuring that AI
systems are ethical, inclusive, and deeply attuned to human experiences
and values. You will explore and shape the convergence of the humanities
and design, social and cognitive sciences, with data science and
engineering, to foster innovative and responsible human-AI teaming.
This opportunity will suit an innovative, interdisciplinary researcher
with a robust social science or humanities background who is passionate
about the potential for cross-disciplinary research to change the world
for the better. You will be central to an international effort to unite
the strengths of humanities, social science, engineering and data
science to address societal, environmental and economic challenges. You
will join an interdisciplinary team within the Data-Centric Engineering
programme at The Alan Turing Institute, with strong collaborative links
to The New Real at the University of Edinburgh. You will have access to
opportunities to advance your research and to develop an international
profile at the cutting edge of this field.
DUTIES AND AREAS OF RESPONSIBILITY
* Undertake research of excellent quality introducing humanities and
social science perspectives to the study of human-AI teaming.
* Be an advocate for boundary-crossing and outwardly-engaged forms for
research.
* Facilitate and empower, ensuring voices can be heard across
disciplinary boundaries.
* Publish and disseminate high-quality research papers and
publications detailing research output and project case-studies.
* Communicate or present research outputs to diverse stakeholders,
through conferences, events, meetings, and press opportunities as
appropriate.
* Engage a diverse range of stakeholders, including academic
communities, industry groups, government agencies, regulatory
bodies, and the public.
* Support a programme of public engagement activities.
Please see the job description for a full breakdown of the role.
Requirements
* PhD in a relevant Social Science or Humanities discipline or
demonstrable equivalent experience (if close to PhD completion,
Research Assistant level will be considered)
* A solid background in one or more of the following: human-AI
interactions, science and technology studies, AI ethics, extended
cognition, cognitive outsourcing, AI arts, AI safety, explainable AI.
* Advanced proficiency in qualitative methods including human subject
experimentation, ethnography, interviews, thematic analysis; adept
at using NVivo or ATLAS.ti for data analysis.
* Familiarity with current trends in AI, data science, or engineering,
and an interest in applying humanities and/or social science
perspectives to these fields.
* Track record of high quality research, as evidenced by journal and
conference publications or equivalent research outputs.
* Experience in interdisciplinary research and of working in diverse
and cross-disciplinary teams.
* Excellent communication skills
Other information
APPLICATION PROCEDURE
If you are interested in this opportunity, please click the apply button
below. You will need to register on the applicant portal and complete
the application form including your CV and covering letter. If you have
questions about the role or would like to apply using a different
format, please contact us on 020 3862 3536 or email
recruitment@turing.ac.uk <mailto:recruitment@turing.ac.uk>.
If you are applying for more than one role at the Turing, please note
that only one Cover Letter can be visible on your profile at one time.
If you wish to apply for multiple roles and do not want to overwrite
your existing Cover Letter, please apply for the role using the button
below and forward your additional cover letter directly to
recruitment@turing.ac.uk <mailto:recruitment@turing.ac.uk> quoting the
job title.
If you are an internal applicant and wish to apply, please send your CV
and Cover Letter directly to recruitment@turing.ac.uk
<mailto:recruitment@turing.ac.uk> and your application will be considered.
CLOSING DATE FOR APPLICATIONS: 7 August 2024 at 23:59 (BST)
/We reserve the right to close this vacancy early or to interview
suitable candidates before the closing date if enough applications are
received./
TERMS AND CONDITIONS
This full-time post is offered on a fixed term basis for 2 years. The
annual salary is £44,180 to £49,966 plus excellent benefits, including
flexible working and family friendly policies,
https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits
Candidates who have not yet been officially awarded their PhD will be
appointed as Research Assistant at a salary of £41,352 per annum.
The Alan Turing Institute is based at the British Library, in the heart
of London’s Knowledge Quarter. We expect staff to come to our office
at least 4 days per month. Some roles may require more days in the
office; the hiring manager will be able to confirm this during the
interview.
EQUALITY, DIVERSITY AND INCLUSION
The Alan Turing Institute is committed to creating an environment where
diversity is valued and everyone is treated fairly. In accordance with
the Equality Act, we welcome applications from anyone who meets the
specific criteria of the post regardless of age, disability, ethnicity,
gender reassignment, marital or civil partnership status, pregnancy and
maternity, religion or belief, sex and sexual orientation.
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