Please feel free to share the announcement below with anyone who might be interested in such a fellowship. We at BKC are involved in the Initiative.
2017-18 Harvard Data Science Postdoctoral Fellows Program
Application deadline: Feb 3, 2017
Inaugural two year postdoctoral fellowship program in data science
The Harvard University Data Science Initiative is seeking applications
for its inaugural Harvard Data Science Postdoctoral Fellows Program for
the
2017-2018 academic year. The normal duration of the Fellowship is
two years. Fellows will receive a generous salary as well as an annual
allocation for research and travel expenses.
To apply for this position please visit:
https://datascience.harvard.edu/funding-opportunities
We are looking for researchers whose interests are in data science,
broadly construed, and including researchers with both a methodological
and applications focus. Fellows will be provided with the opportunity to
pursue their research agenda in an intellectually vibrant environment
with ample mentorship. We are looking for independent researchers who
will seek out collaborations with other fellows and with Harvard faculty.
The Data Science Postdoctoral Fellows Program is supported by the
Harvard Data Science Initiative with administrative support from the
Office of the Vice Provost for Research. The Data Science Initiative
involves faculty from across the university. The Fellows program will
concentrate some of its activity in new physical spaces provided by the
Computer Science-Statistics Data Science Lab, the Longwood Data Science
Lab, as well as space in the Institute for Quantitative Social Sciences.
Funding Priorities
The Data Science Postdoctoral Fellows Program will support outstanding
researchers whose interests relate to the following themes:
1. Methodological foundations, including for example, causal inference,
data systems design, deep learning, experimental design, modeling of
structured data, random matrix theory, non- parametric Bayesian methods,
scalable inference, statistical computation, and visualization.
2. Development of data science approaches tailored to analytical
challenges in substantive fields that span the full intellectual breadth
of Harvard's faculties. To give some purely illustrative examples,
these fields include health sciences (e.g. life and population
sciences), earth systems (e.g. climate change research); society (e.g.
data that can affect the experience of individuals, or policy and
ethical questions); and the economy (e.g. automation, Internet of
Things, digital economy). This list is by no means exhaustive.
Successful applicants will be expected to lead their own research
agenda, but also work collaboratively with others including with members
of the Harvard faculty, and to contribute to building the data science
intellectual community. The Fellows program will offer numerous
opportunities to engage with the broader data science community,
including through seminar series, informal lunches, mentoring
opportunities, opportunities for fellow-led programming, and other
networking events. Fellows should expect to spend most of their time in
residence at Harvard.
Available Funding
Stipend: $80,000 is available in salary support per year for an initial
two year appointment. Appointments may be extended for a third year,
budget and performance allowing.
Travel: An additional $10,000 will be allocated for research and travel
expenses each year.
Eligibility
Applicants must be outstanding, intellectually curious researchers at an
early stage of their scholarly career. Applicants are required to have a
doctorate in a related area by the expected start date. Applicants
should have demonstrated a capacity for independent work, and will be
expected to engage with researchers and faculty and participate in
activities convened by the Data Science Initiative. We recognize that
strength comes through diversity and actively seek and welcome people
with diverse backgrounds, experiences, and identities.
We are an equal opportunity employer and all qualified applicants will
receive consideration for employment without regard to race, color,
religion, sex, sexual orientation, gender identity, national origin,
disability status, protected veteran status, or any other characteristic
protected by law.