[QSB-grads] Fwd: [complexnets] Fwd: [datascience-announce] [JOB] Postdoc at UC Davis Data Science Initiative!

Tue Mar 6 10:49:06 PST 2018

FYI. Data science postdoc at UC Davis.

__________________________________________________________
Paul Smaldino, Ph.D.
Assistant Professor, Cognitive and Information Sciences
Faculty Member, Quantitative and Systems Biology Graduate Group
University of California, Merced
http://www.smaldino.com

---------- Forwarded message ----------
From: Raissa D'Souza <raissa.cse at gmail.com>
Date: Tue, Mar 6, 2018 at 10:41 AM
Subject: [complexnets] Fwd: [datascience-announce] [JOB] Postdoc at UC
Davis Data Science Initiative!
To: complexnets <complexnets at ucdavis.edu>

Looks quite appealing.....

-Raissa

---------- Forwarded message ----------
From: Pamela L Reynolds <plreynolds at ucdavis.edu>
Date: Tue, Mar 6, 2018 at 10:39 AM
Subject: [datascience-announce] [JOB] Postdoc at UC Davis Data Science
Initiative!
To: "datascience-announce at ucdavis.edu" <datascience-announce at ucdavis.edu>

*The Data Science Initiative at UC Davis is hiring a postdoc!*

See the full job ad (below and attached) and contact us if you have any
questions. *We encourage qualified applicants with research backgrounds in
any domain to apply. *This is a great opportunity for someone looking for
more authentic data science experience and/or looking to pivot their
research program or career more toward data science. Applications will be
reviewed as they are received; the position is open until filled. See
http://datascience.ucdavis.edu for more information about the DSI.

*Please distribute broadly and share this position with your colleagues,
postdocs, former students, etc.*

*CALL FOR POSTDOCTORAL SCHOLAR IN DATA SCIENCE*

*Description*

The Data Science Initiative (DSI) at the University of California, Davis is
excited to invite applications for a postdoctoral scholar starting in
Spring/Summer 2018. This postdoc will work at the interface of Data Science
and disciplinary problems, developing novel solutions, software and methods
to address emerging challenges. The scholar will work both independently
and with the research team at the DSI to make progress on a portfolio of
interdisciplinary projects.

We seek applicants with a keen interest and experience in
multi-disciplinary collaborations with various fields. The position
requires scholarly independence, the ability to manage scientific projects
and integrate into a larger team and community. This is an excellent
opportunity for individuals who want to gain experience in a broad array of
authentic data science projects, and who are keen to learn new
technologies/methods and apply them in novel ways to solve real problems.
We consider Data Science as a broad field spanning the entire research data
pipeline and encompassing a range of skills and knowledge. As such, we
encourage applicants with a proven track record as good problem-solvers
from any data-engaged field to apply, regardless of their disciplinary
research training.

The DSI was founded to promote and support research and training in
data-driven discovery across all colleges, schools and disciplines at UC
Davis. The DSI coordinates data-science training activities, provides
consulting and collaborative services for research projects, and conducts
novel research in data science. Research and training activities at the DSI
span the entire data pipeline, from data acquisition, management, cleaning,
transformation, visualization, and modeling to dissemination/publication
and high-performance computing, and involve aspects of data governance,
security, privacy and ethics. The DSI is committed to fostering an
inclusive environment to promote all members of the university community,
including faculty, students and staff from a variety of domains,
backgrounds, cultures and personal experiences. For more information, see
https://www.ucdavis.edu/ <https://grad.ucdavis.edu/postdoctoral>and
http://dsi.ucdavis.edu.

*Qualification Requirements*

Applicants for the position should have earned a PhD prior to the position
start date and have both interest and experience in Data Science with a
background in either:

·         a field related to Data Science (i.e., Computer Science,
Statistics, Machine Learning, Information Science, etc.) with a proven
ability to apply methods and technologies to solve cutting-edge problems in
different domains, or

·         an applied domain with a thesis that contains a significant Data
Science component and demonstrable proficiencies in statistics, data
technologies, and/or computational data science.

All applicants are expected to have experience applying modern statistical
methods, proficiency in a high-level programming language (e.g., R or
Python), and evidence of hands on data analysis skills. The ideal candidate
will have demonstrated strong project leadership and management,
interpersonal communication and decision-making skills, and abilities to
work well independently and as part of a team, and also have experience
with different forms of data (e.g., text, image, video). Motivation and
demonstrated capacity to pursue complex problems and work successfully
within a collaborative setting are also essential. Preferred candidates
will also have some/any of the following skills: use of SQL and NoSQL
databases; high-performance computing; web/JavaScript-based data
visualization tools; natural language processing; machine learning methods
and applications.

*Major Responsibilities*

The postdoctoral scholar is expected to:

1.      Collaborate with DSI partners to work on cross-disciplinary
research projects.

2.      Conduct research in Data Science methods and technologies.

3.      Train students, faculty and staff, possibly including designing and
leading workshops and/or courses, supervising interns, etc.

4.      Help foster the Data Science community via participating in our DSI
Affiliates program and events.

Training and opportunities for the postdoctoral scholar include:

·         Dedicated research mentoring.

·         Research funding to support approved travel and dissemination of
research conducted at the DSI.

·         Access to the computing resources at UC Davis and the DSI,
including compute servers and clusters as well as Amazon Web Services
resources.

·         Access to opportunities for specialized training sponsored by the
DSI and other scientific computing groups at the University.

·         Teaching opportunities in workshops for relevant areas of
speciality and possible teaching of undergraduate or graduate data science
courses.

·         Opportunity to mentor graduate and undergraduate students on
projects that will expose the scholar to practical data science problems
across domains.

The postdoctoral fellow will report to the Faculty Director of the Data
Science Initiative, and will assist the Academic Coordinator and Associate
Directors of the Initiative.

This is not a tenure-track position and is for one year, with the
possibility of extension. Salary will be commensurate with experience and
university policy. Given the sensitive nature of the data involved in the
research, this position is subject to background check. Employment is
contingent upon successful completion of a background investigation
including criminal history and identity check. The successful applicant
must be eligible to work in the USA. UC Davis is an affirmative
action/equal employment opportunity employer and is dedicated to recruiting
a diverse community. We welcome all qualified applicants to apply,
including women, minorities, veterans and individuals with disabilities.

*How to Apply*

*Documents*: To apply please submit the following items as one pdf document:

·         *Curriculum Vitae*, including listing of pertinent coursework and
relevant Github repository.

·         *Cover Letter*, including your desired start date.

·         *Statement of Research Background and Demonstrated Competency in
Data Science*.

·         Optional:

·         *Brief Example Research Plan*, including research interests that
align with ongoing projects at the DSI (see http://dsi.ucdavis.edu
<http://dsi.ucdavis.edu/collaboration.html>) and learning strategy for
skills that need development.

·         *Transcripts *from graduate and undergraduate institutions
(strongly encouraged).

*References:*

·         *3 letters of academic recommendatio*n emailed directly from the
letter writer.

Send all questions and materials to datascience at ucdavis.edu with the
subject line *“DSI Postdoc Application.”* Applications will be reviewed as
they are received. Start dates are expected between April and September
2018.  The position is open until filled. Questions? Contact
*datascience at ucdavis.edu
<datascience at ucdavis.edu>* or plreynolds at ucdavis.edu.

--
Pamela L Reynolds, PhD
plreynolds at ucdavis.edu
530.752.5823 <(530)%20752-5823>
Data Science Initiative
University of California, Davis
One Shields Avenue, Davis CA 95616

*To sign up for our data science listserv “datascience-announce,” or to
manage your subscription, see instructions here:*

*http://dsi.ucdavis.edu/signup.html <http://dsi.ucdavis.edu/signup.html>*
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