Description
Assistant Professor Text Mining / NLP (1.0 FTE, tenured)
Job description
The Department of Methodology and Statistics is seeking to appoint an
Assistant Professor specializing in the areas of text mining, natural language
processing (NLP), or active learning for text data. The successful candidate
will contribute to our growing research and education programme in Applied
Data Science. The department encourages applications from candidates trained
in social science methodology & atatistics, as well as candidates with
expertise in computational social science, data science, statistics, and
computer science, who would welcome the opportunity to work in the Faculty of
Social & Behavioural Sciences.
You will be employed at the Department of Methodology and Statistics of the
Faculty of Social and Behavioural Sciences at Utrecht University. Among other
activities in this area, the department hosts the Social Data Science (SoDa)
team and the open-source project ASReview as part of ODISSEI, the Dutch
national infrastructure for the social sciences. The department plays a
central role in Utrecht University's Applied Data Science focus area and
participates in the focus area of Human-centered Artificial Intelligence.
Additionally, our department collaborates with the strategic themes Dynamics
of Youth and Institutions for Open Societies.
For example, we coordinate the Research Master's programme Methodology and
Statistics for the Behavioural, Biomedical, and Social Sciences, and we
participate in the one-year interdisciplinary Master's Applied Data Science
and the interdisciplinary minor in Applied Data Science. We also teach many
Data Science courses for researchers and other professionals as part of the
Summer School Utrecht, and we advise staff and students concerning their
research activities.
TasksThe Department of Methodology and Statistics has a job opening for a
full-time assistant professor (tenured), requiring you to contribute to our
educational and research programme. The position involves 60%
teaching/management activities and 40% research time. Core tasks will include:
contributing to the Bachelor's and Master's degree programmes, primarily
within the curriculum of the Applied Data Science programmes we contribute
to;
carrying out and supervising research within the scope of the research
executed by the Department of Methodology and Statistics, often in
collaboration with other research institutes or societal partners;
contributing to the acquisition of substantial external research funding
for the benefit of the research programme of the department of Methodology
and Statistics.
Qualifications
Teaching
The candidate has experience with developing and coordinating academic
courses in a team setting. Experience with teaching courses on text
mining, NLP, or active learning for text data is an asset.
The candidate is able to provide inspiring lectures and has an eye for the
improvement of teaching methods, as evidenced by positive teaching
assessments.
The candidate holds a Basic Teaching Qualification (BKO), or is willing
to acquire this qualification in the near future.
The candidate holds a PhD degree in the field of data science, (social)
statistics, computer science, computational social science, or an adjacent
field.
The candidate has experience in conducting scientific research in the
field of applied data science. Experiences with text mining, NLP, or
active learning for text data is an asset.
The candidate has ideas about their own research line and how this fits in
with the Department of Methodology and Statistics.
The candidate's work adheres to the highest standards of open science.
Experience with open-source software is an asset. Their work may comprise
non-traditional outputs, or impact-related activities.
The candidate is able to contribute to the (collective) acquiring of
external research funding for the benefit of the research programme of the
Department of Methodology and Statistics.
General
The candidate has good communication skills, a proactive work attitude,
and is able to work within a team.
The candidate is willing to learn Dutch. We expect a relevant level of
competence within two years of taking up the appointment.
The candidate has experience with and an interest in advising students and
staff doing substantive social science with respect to methods and
techniques of data analysis.
Programing skills are required, and Python skills are an asset.
Offer
We offer a full-time permanent (i.e., tenured) position. Your gross salary -
depending on previous qualifications and experience - ranges between €3,821
and €5,943 (scale 11/12 according to the Collective Labour Agreement Dutch
Universities) per month for a full-time employment. Salaries are supplemented
with a holiday bonus of 8% and a year-end bonus of 8.3% per year. In addition,
Utrecht University offers excellent secondary conditions, including an
attractive retirement scheme, (partly paid) parental leave and flexible
employment conditions (multiple choice model). For more information: working
at Utrecht University.
About the organization
"A better future for everyone". This ambition motivates our scientists in
executing their leading research and inspiring teaching. At Utrecht
University, the various disciplines collaborate intensively towards major
societal themes.
Additional information
For additional information, please contact K. van Kats by email:
K.vanKats@uu.nl.
Everyone deserves to feel at home at our university. We welcome employees with
a wide variety of backgrounds and perspectives. Please upload your application
letter and curriculum vitae via the 'application' button below.
Please note the following requirements with respect to the format:
The cover letter is no more than one page and provides the motivation to
apply for this position. Please include a section regarding open science
and a section on team science.
The curriculum vitae is no more than three pages; choose the most relevant
achievements with respect to teaching experiences, research, publications
(non-traditional outputs are welcome), and anything else you want us to
know.
Do not add any additional materials or documents.
Depending on the development of Covid, candidates who are invited for an
interview will be informed whether the interviews will be held in person or
online.Acquisition as a result of this vacancy is not appreciated.
The application deadline is
10/06/2022
