| Home | About | Subscribe | Search | Member Area |
Humanist Discussion Group, Vol. 33, No. 520.
Department of Digital Humanities, King's College London
Hosted by King's Digital Lab
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
[1] From: nhora lucia serrano
Subject: Data Science/Analysis Research Librarian (182)
[2] From: Walden, Katherine
Subject: Data Scientist at Grinnell College (Iowa) (86)
[3] From: Christian Goursaud
Subject: Research Fellow (digital musicology), Royal Birmingham Conservatoire (0.6FTE) (31)
--[1]------------------------------------------------------------------------
Date: 2019-12-31 09:38:36+00:00
From: nhora lucia serrano
Subject: Data Science/Analysis Research Librarian
Hi All,
Hamilton College's Research and Instructional Design Team
is looking for a Data Science/Analysis Research Librarian. The position
posting can be found here: https://apply.interfolio.com/70857.
We'll begin looking at applications starting January 13th, 2020. If
there are any questions, please do not hesitate to reach out to me at
any time at: nserrano@hamilton.edu.
Happy New Year,
Nhora
Data Science/Analysis Research Librarian:
https://apply.interfolio.com/70857
Hamilton College: Hamilton College Non-Faculty
Description
Hamilton College invites applications for the position of Data
Science/Analysis Research Librarian in the Library and Information
Technology Services (LITS). This role will focus on assisting a diverse
audience of social science faculty and students with collection or
creation, processing, and analysis of data. The Data Science/Analysis
Research Librarian will refer or work with others in LITS and with LITS
partners to support visualization, preservation, access, and reuse of
data with the purpose of informing social science research and helping
undergraduate students understand important social science concepts.
In addition, the Data Science/Analysis Research Librarian will provide
research support and introduce cutting-edge data analysis tools and
methodologies to LITS patrons as a member of the Research and
Instructional Design (R&ID) Team where research and technology experts
work together to support faculty and students with research and
teaching. The R&ID Team provides an inclusive, respectful, and
responsive service point, works collaboratively to meet exciting
research challenges, supports learning communities, and introduces and
facilitates the use of innovative technologies through consultation and
instruction.
We are seeking a creative and analytical individual who enjoys variety
in their work, thrives on working with others to solve challenging
data-related problems, and is committed to lifelong teaching and
learning of data analysis and technical skills. The position will serve
as library liaison to one or more academic departments, based on data
analysis needs and the individuals educational background.
Responsibilities:
Data Science/Data Analysis:
* Uses advanced skills with data analysis, data
cleaning/wrangling/normalization, regular expressions, web scraping,
and APIs to support and collaborate with researchers on data-related
research.
* Retrieve/manipulate complex data from a variety of sources; transfer
data between platforms for use in multiple computing environments.
* Work closely with and provide direct assistance to students in data
science/analysis including workshops or other instruction.
* Assists with in-class instruction of statistic-based labs in the
social sciences.
* Assist students with research projects and course assignments that
require data analysis.
* Works collaboratively with others in LITS and with LITS partners
such as the Quantitative & Symbolic Reasoning Center (QSR), Oral
Communication Center (OCC), and the Writing Center.
* Assist in the choice, application, and interpretation of
quantitative research methods, and with the use of statistical
software needed to implement these methods.
* Works consistently to enhance technical skills and develop
proficiency with new data analysis tools and techniques.
* Develops services in response to needs of faculty and students in
the social sciences, LITS priorities, and diverse Hamilton
populations.
* Build effective working relationships with faculty and students.
* Identifies, evaluates and recommends new and emerging data analysis
research tools and methods for social science students and faculty,
and LITS.
Research, Teaching, and Learning Support:
* Provide research support to the Hamilton faculty and students in the
social sciences, members of the public, and the larger scholarly
community.
* Collaborate with faculty, educational technologists, and other
academic partners to provide instructional design support and
promote digital and information literacy in the social sciences and
across the curriculum.
* Serve as primary liaison to assigned academic departments, programs,
and academic resource centers.
* Participate in the ongoing training and mentoring of the R&ID
student tutors.
* Build collections in multiple formats to support the academic goals
of the college.
* Maintain and apply a current awareness of best practices in teaching
and learning, especially as related to data analysis and digital and
information fluencies.
* Develop and maintain library resource guides for faculty and students.
* Engage in a variety of professional development activities.
* Participate in other duties and responsibilities as assigned.
Job-related qualifications representing the knowledge, skills, and
attributes an individual needs to possess in order to perform the job in
a satisfactory manner.
* Demonstrated ability and experience functioning successfully in a
fast-paced environment with a strong service orientation.
* Ability to work collegially and communicate effectively with
colleagues, faculty, and students.
* In-depth knowledge of a wide range of information sources and
technologies, especially data science/analysis.
* Superior teaching skills.
* Curiosity about how technology is affecting research and teaching,
and enthusiasm for collaboration with faculty and students in a
liberal arts context.
* Excellent writing, problem-solving, and presentation skills.
* Demonstrated aptitude for quickly learning new tools and technologies.
Qualifications
* ALA-accredited master's degree in Library or Information Science,
and/or related advanced degree in quantitative social science;
extensive coursework in economics and econometrics.
* Equivalent combination of education, training, and experience will
be considered.
* Experience conducting social science research at the graduate level.
* Experience providing data-related services in a library or research
setting, either one-on-one or in a classroom setting.
* Intermediate to expert experience with R and STATA; experience with
SPSS and SAS highly desirable.
* Proficiency with at least one programming language (such as Python
or Java) highly desirable.
* Demonstrated advanced data skills, including data
cleaning/wrangling/normalization, using regular expressions, and web
scraping.
* Knowledge of software and tools supporting the discovery,
management, analysis, and visualization of research data; including
keeping abreast of current and emerging trends.
* Proficiency using tools and programming libraries to support text
analysis.
* Experience working effectively with a team to plan and complete
projects.
* Demonstrated ability to work with diverse populations as well as
demonstrated commitment to diversity, inclusion, and accessibility.
Application Instructions
Please submit cover letter, resume and contact information for three
professional references.
Please address your cover letter to Dr. Nhora Serrano, Associate
Director for Digital Learning and Research. In your cover letter, please
describe your experiences with diversity and inclusion and your
potential to support Hamilton's commitment to the same. Consideration of
candidates will begin January 13, 2020 and continue until the position
is filled.
LITS is committed to creating an accessible, supportive environment and
an educational experience that recognizes diversity and cultural
competence as integral components of academic excellence. Candidates who
can contribute to that goal are encouraged to apply and to identify
their strengths in this area.
Hamilton College (www.hamilton.edu)
is a residential liberal arts college located in the Mohawk Valley of
upstate New York. Applicants with dual-career considerations can find
other Hamilton and nearby academic job listings at www.upstatenyherc.org,
as well as additional information at
https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or-
new-faculty/opportunities-for-spouses-or-partners
(Opportunities for Spouses or Partners). Hamilton College is an affirmative
action, equal opportunity employer and is committed to diversity in all areas of
the campus community. Hamilton provides domestic partner benefits.
Candidates from underrepresented groups in higher education are
especially encouraged to apply.
--[2]------------------------------------------------------------------------
Date: 2019-12-28 13:21:28+00:00
From: Walden, Katherine
Subject: Data Scientist at Grinnell College (Iowa)
Hi all,
Grinnell College's Data Analysis and Social Inquiry Lab (DASIL) is
looking to hire a Data Scientist. Applications due February 14, 2020.
Link to full job posting:
(https://jobs.grinnell.edu/postings/2563)
Position Description:
Grinnell College's Data Analysis and Social Inquiry Lab (DASIL) helps
students, faculty, and staff members integrate data-driven methodology
and technology inside and outside of the classroom. DASIL exists as an
academic resource at the intersection of social inquiry and data
science. DASIL currently supports a variety of data-driven software
packages and programming languages including ArcGIS, Bloomberg, Excel,
Minitab, NVivo, Python, Qualtrics, R, SPSS, Stata, and Tableau.
We play an integral role in supporting members of Grinnell College to
tackle data in a variety of ways, including:
-- Providing experiential learning for student employees through peer
mentoring and project-based work
-- Training students, faculty, and staff members to use data-driven
software packages and programming languages
-- Preparing datasets for use in classroom exercises and other
pedagogical activities
-- Collecting, analyzing, and visualizing data for faculty- and staff-led
research
Duties & Responsibilities:
This position provides data-driven support for students, faculty, and
staff members. They may provide support in the following ways:
-- Consulting with members of Grinnell College about appropriate use of
data collection, analysis, and visualization
-- Designing classroom exercises and prepare accompanying datasets
-- Developing systems of data acquisition and visualization
-- Managing projects at the intersection of social inquiry and data
science in collaboration with faculty and staff
The Data Scientist position requires technical expertise necessary to
carry out data-driven projects. The activities of data-driven projects
will vary but may involve:
-- Automating the collection of data from open-source databases
-- Creating interactive dashboards to gather insight and motivate inquiry
-- Performing advanced analysis on data varying in structure (i.e.,
hierarchical groups, longitudinal studies)
Minimum Requirements:
A background in statistics, some coursework in the Social Sciences,
appropriate programming skills, a willingness to expand skills as
needed, and a Masters degree or higher in a relevant field are
required. The successful applicant will have good communication skills
with experience or interest in mentoring undergraduate students from
diverse backgrounds and departments. Proficiency in Geographic
Information Systems is desirable, but not required.
Applicable Skills
-- ArcGIS
-- Stata
-- Minitab
-- Excel
-- Computer programming (Python experience preferred)
-- NVivo
-- R and RStudio (Advanced knowledge demonstrated through work and
research preferred)
-- SPSS
-- Qualtrics
-- Tableau
This is a position that involves significant collaboration with academic
librarians, technologists, and faculty/staff/students from a range of
campus units. The person in this role will have a range of opportunities
to work on data-driven teaching and research projects, in addition to
supporting an interdisciplinary peer mentor programall in the context
of a small liberal arts college environment.
I'm happy to answer questions about the position.
-Katherine Walden, PhD
641-269-3175 | waldenka@grinnell.edu
Digital Liberal Arts Specialist | Center for Teaching, Learning, and
Assessment
Grinnell College | Grinnell, IA 50112
--[3]------------------------------------------------------------------------
Date: 2019-12-28 13:20:10+00:00
From: Christian Goursaud
Subject: Research Fellow (digital musicology), Royal Birmingham Conservatoire (0.6FTE)
A digital musicologist is required to join the research team working on
the AHRC-funded "Interpreting the Mensural Notation of Music: An Expert
System Based on the Theory of Johannes Tinctoris" project at the Royal
Birmingham Conservatoire. We are looking for someone with a solid
background in coding and familiarity with MEI. It would be desirable,
but not essential, for the successful candidate to be acquainted with
pre-1600 (or better still, pre-1500) music, and also machine learning.
The appointment is at the level of Research Fellow (equivalent to
Lecturer in the UK, Assistant Professor in North America) at 0.6 FTE (3
days a week) until the end of the project on 30 September 2021. The
deadline for applications is 17 January 2020.
It would not be necessary for the postholder to relocate to Birmingham,
since the duties could easily be carried out remotely. International
applications are therefore warmly invited.
For further particulars, and to apply online, please see:
(https://jobs.bcu.ac.uk/Vacancy.aspx?ref=122019-553).
Best,
Christian
--
Dr Christian Goursaud
Research Fellow
Royal Birmingham Conservatoire
200 Jennens Road
Birmingham B4 7XR
United Kingdom
_______________________________________________
Unsubscribe at: http://dhhumanist.org/Restricted
List posts to: humanist@dhhumanist.org
List info and archives at at: http://dhhumanist.org
Listmember interface at: http://dhhumanist.org/Restricted/
Subscribe at: http://dhhumanist.org/membership_form.php
Editor: Willard McCarty (King's College London, U.K.; Western Sydney University, Australia)
Software designer: Malgosia Askanas (Mind-Crafts)
This site is maintained under a service level agreement by King's Digital Lab.