posted by user: MPIDR || 3250 views || tracked by 6 users: [display]

PhD-Students 2020 : PhD students - Summer Research Visit

FacebookTwitterLinkedInGoogle

Link: https://www.demogr.mpg.de/en/education_career/jobs_fellowships_1910/summer_research_visits_6607.htm
 
When Sep 26, 2019 - Dec 1, 2019
Where Rostock, Germany
Submission Deadline Dec 1, 2019
Final Version Due Dec 1, 2019
Categories    demography   social sciences   data science   computer science
 

Call For Papers

The Max Planck Institute for Demographic Research (MPIDR) is inviting applications from qualified and highly motivated PhD students for a Summer Research Visit in the Lab of Digital and Computational Demography.

MPIDR is one of the leading demographic centers in the world. It is part of the Max Planck Society, a network of 84 institutes that form Germany's premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects of an academic setting and a research laboratory.

The Lab of Digital and Computational Demography brings together methodologists (from areas like Statistics, Computer Science or Mathematical Demography) with experts in areas of the Social Sciences (e.g., Sociology, Geography, Economics, etc.) in order to favor cross-pollination of ideas, to advance methods and theory, and to address pressing societal questions.

Key substantive areas for the Lab include:

i. Migration and mobility
ii. Population aging and generational processes
iii. The interplay of social and environmental forces and population dynamics

Examples of project areas relevant for the Lab include (but are not limited to):

1) Combining traditional data sources as well as those that emerged from the digitalization of our lives to study demographic processes, like migration, health and well-being, intergenerational relationships and gender disparities.

2) Developing innovative forms of data collection for demographic research (e.g., surveys via web and social media advertisement platforms, or data collected via sensors, tracking devices, mobile phone apps, or crowd-source approaches).

3) Developing simulation models of individual choices and population-level processes to produce new insights on demographic dynamics and advance population theory.

4) Evaluating the impact of the digitalization of our lives on demographic behavior and population processes.

5) Modeling, estimating and predicting the relationships between environmental change, demographic processes and disease dynamics.

For more information about the Lab of Digital and Computational Demography, see: https://www.demogr.mpg.de/go/lab-dcd

The Lab of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni, is looking for PhD candidates who would like to spend 3 months at MPIDR (June 1st-August 31st 2020) to work on a collaborative research paper under the supervision of one or more experienced scientists at MPIDR.

Applicants must be enrolled in a PhD program (at the time they visit MPIDR) in Demography, Statistics, Data Science, Computer Science/Informatics, Applied Mathematics, Economics, Sociology, Geography, Public Health, Public Policy or a related discipline.

The successful candidates have demonstrated the ability to work on research projects independently and in interdisciplinary teams, and present a research proposal that is relevant, doable and that fits with the research agenda of the Lab of Digital and Computational Demography.

Applications must be submitted online via job portal and include the following documents:

1 Curriculum Vitae

2 Research Proposal (Max 2 pages)
- Please state why you are interested in spending the Summer at MPIDR, and in which ways your research interests fit the research strengths of the Lab of Digital and Computational Demography.
- Please articulate your research proposal for a Summer project, including expected data and methods that would be appropriate for achieving these goals.
- Please describe your technical skills, as well as what you would like to learn over the course of the Summer visit.

3 Copies of transcripts of undergraduate and master’s degrees

4 Names and contact information for 2 academic references

5 One or two writing samples/publications

In order to receive full consideration, applications should be submitted by December 1st, 2019. Selected PhD students will be expected to be in residence at MPIDR in Rostock for the period of the research visit and would be offered reimbursement for travel costs to/from Rostock and a stipend of approximately 1,365 € /month (if they do not receive financial support from their home institution).

Our institute values diversity and is committed to employing individuals from minorities. Individuals with severe disability are especially welcome to apply. Our Institute and the Max Planck Society also seek to increase the proportion of women in areas where they are underrepresented and therefore explicitly encourage women to apply.

Related Resources

PAKDD 2021   Pacific-Asia Conference on Knowledge Discovery and Data Mining
EGER 2021   Tokyo Academy of Research & Innovation is aimed to provide a platform for Students, Professors, Researchers and professionals to exchange their research findings and developmental
ACM--NLPIR--Ei Compendex and Scopus 2020   ACM--2020 4th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2020)--Scopus, Ei Compendex
PEFnet 2020   24th European Scientific Conference of Doctoral Students
RiE 2021   12th International Conference on Robotics in Education
ICSOC 2020   The 18th International Conference on Service-Oriented Computing (Call for PhD Symposium Papers)
AIP Journal - Indexed in Scopus 2021   Journal of Social and Business Informatics - Acta Informatica Pragensia
PhD-EnInf 2020   11th Doctoral Workshop Energy Informatics
ITE 2021   2nd International Conference on Integrating Technology in Education
AIDBEI 2020   AAAI 2020 Diversity Workshop: Mentoring Students from Underserved Populations