The Application for SDL Fellowship
The Spatial Data Lab (SDL) Fellowship program is designed to provide online collaborative learning experience for scholars and graduate students. It offers tailored professional training in spatial data science, including open-source tools, workflow technology, geospatial data, spatial modeling, and their applications across different fields. The program gives a researcher the opportunity to develop technical skills in cutting-edge technologies, interdisciplinary research networks as well as leadership abilities. Those outstanding researchers will be recommended to apply for an onsite visiting scholar position at the Center for Geographic Analysis at Harvard University.
Responsibilities:
- Participate in business meetings organized by the Lab.
- Actively involve in the activities organized by the Lab.
- Collaborate with other Lab members on at least one academic paper per visiting term.
- Contribute to teaching/mentoring programs affiliated with the Lab.
- Contribute to case studies organized with the Lab.
- Facilitate collaboration between the Lab and other interested academic institutions or communities.
- Provide leadership by bringing in research ideas and leading research projects.
- Present at least once per year in seminar/forum/webinar/symposium events organized by the Lab.
Qualifications:
- Currently a faculty member or Postdoc in a college/university.
- Strong interest in geospatial analysis, workflow technology, spatial/GeoAI models, as well as their applications across different fields.
- Knowledge of geospatial tools, such as Geographic Information Systems (GIS), remote sensing software, and programming languages (such as Python), is desirable.
- Strong analytical and problem-solving skills to contribute to research, modeling, and GeoAI model implementation activities.
- Good written and verbal communication skills to effectively convey ideas and contribute to team discussions (The program’s working language is English).
- Ability to work independently and as part of a team, manage time efficiently, and meet timelines.
- Enthusiasm for acquiring new skills and knowledge in the realm of geospatial analysis and models.
- Passion for working in a team with diverse backgrounds and different levels of technical skills.
Selection Criteria:
- Self-motivation on spatial data science research.
- Proven records in academic research.
- Recommendation by two faculty members.
Location: Online
Benefits:
- Resource and technical support offered by the lab.
- Infrastructure support for research proposals and projects related to the lab.
- Network opportunity to collaborate with a diverse team of experts and professionals.
- Discounts for fees-based events organized by the lab.
- Recognized as Research Affiliates on the Spatial Data Lab project website.
- Enhanced profile for career development.
- Possibility for co-authoring peer-reviewed papers for academic journals.
- Signed certificate for the completion of the Visiting Researchers.
- Reference for future career opportunities.
Appointment:
The appointment is valid for one term (six months or one year) with renewal upon end-of-term evaluation. Applicants should propose a research plan at the beginning of each term and submit a final report at the end of each term for evaluation.
Application:
To apply for the SDL Fellowship, please submit the application form, and project proposal form include the following points in your statement:
- You understand that this will be 100% remote participation, and indicate your location (city, country is sufficient).
- You understand that this will be non-stipend.
- Your planned start and end dates, usually cover 6-12 months, can change later.
- Give a few examples of project tasks you could be conducting.
- Mention some benefits to your academic development that you expect from this experience.
- You agree to submit a report and presentation at the end of your term, summarizing your accomplishments.
- Your photo and short bio for the SDL website. See examples on https://gis.harvard.edu/people/affiliation/associates.
We will review applications on a rolling basis and contact shortlisted candidates for interviews.
Please visit http://spatialdatalab.org for more details or contact spatialdatalab@googlegroups.com for questions.