Skip to main content

35 Research Fellowship Opportunities currently open! Career Guidance



35 Research Fellowship Opportunities currently open!

Are you a student, scholar, academic or research enthusiast? Do you need training, funding and support to launch or advance your research? One of these opportunities could be for you! 

Check them out and apply if you are eligible.

1. Johnson & Johnson-AESA Research & Development Fellowship Programme 2020
Deadline: Jul 31

2. NAEd/Spencer Dissertation Fellowships in Education Research 2021
Deadline: Oct 8

3. Camargo Core Program 2021-2022 for Scholars, Thinkers and Artists (Stipend available)
Deadline: Oct 1

4. ALLY Young Researchers Programme on Peacebuilding and Preventing Violent Extremism (Asia)
Deadline: Aug 3

5. TWAS-SISSA-Lincei Research Cooperation Visits Programme 2020/2021 (Funded to Trieste, Italy)
Deadline: Sep 9

6. Stacy Lloyd III Fellowship for Bibliographic Study 2021 for Researchers and Scholars in the Humanities 
Deadline: Aug 12

7. MRC/DFID African Research Leader Scheme 2020
Deadline: Sep 8

8. Oak Spring Garden Foundation's Fellowship in Plant Science Research 2021 (Funding available)
Deadline: Aug 12

9. NIERA – UGlobe Fellowship for Researchers in East Africa 
Deadline: Jul 31

10. Oak Spring Garden Foundation's Fellowship in Plant Conservation Biology 2021 (up to $10,000 grant)
Deadline: Aug 12

11. Canon Foundation-Kyoto University Japan-Africa Exchange Program 2020/2021 (Funding available)
Deadline: Feb 2021

12. Women for Africa Foundation (FMxA) 6th Science by Women Programme 2020 (Fully-funded to Spain)
Deadline: Sep 30

13. Rothamsted International Fellowship 2020 for Scientists from Low- to Middle- income countries
Deadline: Sept 28

14. Wits Institute for Social and Economic Research (WISER) Postdoctoral Research Program 2020-2022
Deadline: Aug 31

15. DAAD climapAfrica PostDoc Fellowship 2020 for Africans in Climate Research (Funded)
Deadline: Sep 14

16. Westpac Research Fellowship 2021 for Early-career Researcher (Australians only)
Deadline: Aug 25

17. DHET Future Professors Programme 2021/2022 for Early-career Academics in South Africa
Deadline: Jul 31

18. Princeton University Postdoctoral Research Associate Position in Development Finance 2020
Deadline: Sep 1

19. Harvard University Academy Scholars Program 2021
Deadline: Oct 1

20. TWAS Visiting Expert Programme 2020 
Deadline: Oct 1

21. Fulbright African Research Scholar Program 2021
Deadline: Aug 14

22. National Academy of Education/Spencer Postdoctoral Fellowship Program 2021 (up to $70,000)
Deadline: Nov 18

23. King's College London Clinical Research Fellowship 2021 (Paid)
Deadline: Aug 13

24. Walters Kundert Fellowship for Post-PhD Researchers
Deadline: Nov 23

25. African Academy of Sciences International Research Management Staff Development Programme 2020 (For UK and African applicants)
Deadline: Aug 10

26. NED Reagan-Fascell Democracy Fellows Program
Deadline: Oct 1

27. Africa Research Excellence Fund (AREF) Research Development Fellowship Programme 2020
Deadline: Sep 23

28. Interdisciplinary Conservation Network (ICN) for Early-career Researchers
Deadline: Aug 12

29. TWAS-BIOTEC Postdoctoral Fellowship 2020/2021
Deadline: Aug 31

30. TWAS-NRF Doctoral Fellowship Programme 2021 for Researchers from Developing countries
Deadline: Aug 14

31. Deutsches Museum in Munich Scholar-in-Residence Program 2020 
Deadline: Oct 16

32. Alexander von Humboldt Research Fellowships 2021 for Postdoctoral Researchers
Deadline: Dec 31

33. EDCTP Career Development Fellowships 2020 in Poverty-related Diseases and Child and Adolescent Health.
Deadline: Aug 5

34. IDRC Research Awards 2021 for Master's and Doctoral Students/Recent Graduates in Canada
Deadline: Sep 16

35. TWAS Fellowships for Research and Advanced Training 2020 for Young Scientists in Developing countries
Deadline: Oct 1

Don't forget to SHARE with the students, scholars and academics in your community!



....


Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
http://geogisgeo.blogspot.com
🌏🌎
🌐🌍

Comments

Post a Comment

Popular posts from this blog

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...
Post a Comment
Read more

Hazard Mapping Spatial Planning Evacuation Planning GIS

Geographic Information Systems (GIS) play a pivotal role in disaster management by providing the tools and frameworks necessary for effective hazard mapping, spatial planning, and evacuation planning. These concepts are integral for understanding disaster risks, preparing for potential hazards, and ensuring that resources are efficiently allocated during and after a disaster. 1. Hazard Mapping: Concept: Hazard mapping involves the process of identifying, assessing, and visually representing the geographical areas that are at risk of certain natural or human-made hazards. Hazard maps display the probability, intensity, and potential impact of specific hazards (e.g., floods, earthquakes, hurricanes, landslides) within a given area. Terminologies: Hazard Zone: An area identified as being vulnerable to a particular hazard (e.g., flood zones, seismic zones). Hazard Risk: The likelihood of a disaster occurring in a specific location, influenced by factors like geography, climate, an...
Post a Comment
Read more

Scope of Disaster Management

Disaster management refers to the systematic approach to managing and mitigating the impacts of disasters, encompassing both natural hazards (e.g., earthquakes, floods, hurricanes) and man-made disasters (e.g., industrial accidents, terrorism, nuclear accidents). Its primary objectives are to minimize potential losses, provide timely assistance to those affected, and facilitate swift and effective recovery. The scope of disaster management is multifaceted, encompassing a series of interconnected activities: preparedness, response, recovery, and mitigation. These activities must be strategically implemented before, during, and after a disaster. Key Concepts, Terminologies, and Examples 1. Awareness: Concept: Fostering public understanding of potential hazards and appropriate responses before, during, and after disasters. This involves disseminating information about risks, safety measures, and recommended actions. Terminologies: Hazard Awareness: Recognizing the types of natural...
Post a Comment
Read more

Role of Geography in Disaster Management

Geography plays a pivotal role in disaster management by facilitating an understanding of the impact of natural disasters, guiding preparedness efforts, and supporting effective response and recovery. By analyzing geographical features, environmental conditions, and historical data, geography empowers disaster management professionals to identify risks, plan for hazards, respond to emergencies, assess damage, and monitor recovery. Geographic Information Systems (GIS) serve as crucial tools, providing critical spatial data for informed decision-making throughout the disaster management cycle. Key Concepts, Terminologies, and Examples 1. Identifying Risk: Concept: Risk identification involves analyzing geographical areas to understand their susceptibility to specific natural disasters. By studying historical events, topography, climate patterns, and environmental factors, disaster management experts can predict which regions are most vulnerable. Terminologies: Hazard Risk: The pr...
Post a Comment
Read more

Supervised Classification

In the context of Remote Sensing (RS) and Digital Image Processing (DIP) , supervised classification is the process where an analyst defines "training sites" (Areas of Interest or ROIs) representing known land cover classes (e.g., Water, Forest, Urban). The computer then uses these training samples to teach an algorithm how to classify the rest of the image pixels. The algorithms used to classify these pixels are generally divided into two broad categories: Parametric and Nonparametric decision rules. Parametric Decision Rules These algorithms assume that the pixel values in the training data follow a specific statistical distribution—almost always the Gaussian (Normal) distribution (the "Bell Curve"). Key Concept: They model the data using statistical parameters: the Mean vector ( $\mu$ ) and the Covariance matrix ( $\Sigma$ ) . Analogy: Imagine trying to fit a smooth hill over your data points. If a new point lands high up on the hill, it belongs to that cl...
Post a Comment
Read more