-------- Original Message --------
Subject: [smep] [All Members] Quantitative post doc at UCLA
Date: 24 Aug 2020 14:06:55 -0000
From: cenders(a)psych.ucla.edu
To: smep(a)smep.org
Dr. Craig Enders (https://smep.org/users/dr-craig-enders) sent a message
using the contact form at https://smep.org/contact.
Dear colleagues,
I am passing along a job announcement for a quant-oriented post doc in UCLA
Psychology Department. If you know interested individuals, they can contact
Tom Bradbury or Ben Karney for more information.
Best,
Craig Enders
The UCLA Marriage Laboratory is seeking candidates for a postdoctoral fellow
position. The successful candidate will work as a quantitative analyst for
our research team. Broad objectives of the lab include exploring factors
that
cause relationships to change, identifying the unique challenges of couples
facing social and economic adversity, and determining which
interventions and
social policies are most effective in fostering healthy and enduring
relationships.
To learn more about the UCLA Marriage Lab and our research, please visit our
website: https://marriage.psych.ucla.edu/
A successful candidate will perform the following essential functions:
o Collaborate with Principal Investigators, post-docs, and graduate
students to answer research questions by using appropriate data analytic
techniques
o Intensive and regular data analyses as a member of our research team
o Prepare methods and results sections of manuscripts
o Data management
o Provide training and mentorship in quantitative methods to team members
o Acquire a strong understanding of research topics and thorough knowledge
of the data and programming efforts involved
o Meet regularly with the research team
A successful candidate will have the following qualifications:
o PhD required, preferably in Psychology, with expertise in quantitative
methods
o Expert knowledge of statistical software and modeling programs such as
SPSS, Mplus, SAS, and R/R Studio
o Comfort manipulating and analyzing complex, high-volume,
high-dimensionality data, with particular emphasis on longitudinal research
designs
o Expertise in, or willingness to learn, dyadic data analysis
o A strong passion for empirical research and for answering complex
questions using quantitative methods
o High motivation with an ability to solve data analysis problems
independently
o Excellent oral and written communication skills
o Have the ability to communicate clearly and effectively in English, both
orally and in writing
This is a full-time position with competitive salary and benefits. We will
begin reviewing applications on August 1, 2020 and intend to fill the
position as soon as a suitable candidate is found. To apply, please submit
the required documents at the following link:
https://recruit.apo.ucla.edu/JPF05753
The University of California is an Equal Opportunity Employer. All qualified
applicants will receive consideration for employment without regard to race,
color, religion, sex, sexual orientation, gender identity, national origin,
disability, age or protected veteran status. For the complete University of
California nondiscrimination and affirmative action policy see: UC
Nondiscrimination and Affirmative Action Policy
-------- Original Message --------
Subject: [smep] [All Members] UCLA job quant psych job announcement
Date: 24 Aug 2020 14:01:49 -0000
From: cenders(a)psych.ucla.edu
To: smep(a)smep.org
Dr. Craig Enders (https://smep.org/users/dr-craig-enders) sent a message
using the contact form at https://smep.org/contact.
Dear colleagues,
UCLA is conducting a search this year for an assistant professor in
quantitative psychology. Please feel free to forward the job announcement
below to individuals who might be interested.
Best,
Craig Enders
The UCLA Department of Psychology seeks to hire a full-time tenure-track
assistant professor in quantitative psychology. We are interested in
applicants pursuing innovative research in quantitative methods, broadly
defined. Possible areas of specialization include, but are not limited to,
advanced latent variable modeling (e.g., structural equation models, latent
variable clustering methods, longitudinal transition models), modern
research
design (e.g., quasi-experimental design, adaptive randomized trials,
propensity score methods, causal inference), predictive modeling (e.g.,
machine learning, data mining, analytic methods for big data), generalized
linear models, and statistical modeling of psychological or neurobiological
data. Candidates should add to the Department’s existing strengths in
quantitative methods, and preference will be given to individuals whose
methodological specialization has broad application and connection to
ongoing
research throughout the Department.
Applicants must hold a Ph.D. in quantitative psychology or psychology, a
related data science discipline (e.g., biostatistics), or a related social
science or behavioral science field (e.g., education) no later than one year
after hire and should demonstrate a strong track record of productive and
impactful research. In addition to an outstanding record of research and
potential for extramural research support, the successful candidate will
demonstrate a history of, or the potential for, contributing to the
teaching,
mentoring, and service missions of the Department and University, and the
candidate should have a demonstrated interest in collaboration with
substantive researchers in psychology and the social/behavioral sciences.
Applicants with a demonstrated history of teaching and mentoring students
from underrepresented groups are encouraged to apply.
Quantitative faculty have ongoing collaborations with researchers within the
Department of Psychology and across campus, and UCLA offers a vibrant
academic community with an abundance of collaborative opportunities.
UCLA has
a wealth of quantitative expertise, including groups in biostatistics,
statistics, education, quantitative and computational biosciences, the
Institute for Digital Research & Education (IDRE), and the Center for
Research on Evaluation, Standards, and Student Testing (CRESST), among
others. UCLA recently unveiled a campus-wide DataX Initiative to leverage
advances in data science and AI to transform research, creative activities,
and education across disciplines.
Review of applications will begin as soon as they are received and will
continue until the recruitment closing date; candidates are urged to apply
before October 9, 2020. Applications should include a cover letter, a C.V.,
at least 3 letters of recommendation, separate statements of research goals,
approach to teaching, contributions to equity, diversity, and inclusion (no
more than 3 pages each), and 3 relevant publications. Applications may be
submitted to https://recruit.apo.ucla.edu/apply/JPF05806. Requests for
information should be sent to the search committee at
SearchCommittee(a)psych.ucla.edu (include JPF05806 in the subject).
We encourage applications from women and minority individuals. UCLA has
programs to assist in partner employment, childcare, schooling and other
family concerns. For additional information, visit
http://www.ucla.edu/faculty.
The University of California is an Equal Opportunity/Affirmative Action
Employer. All qualified applicants will receive consideration for employment
without regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability, age or protected veteran status. For
the complete University of California nondiscrimination and affirmative
action policy see: UC Nondiscrimination and Affirmative Action Policy
(https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction).