【學會公告】哈佛大學博士後申請計畫

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.

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