[Job-offers-cs] Job Posting: Post-Docs/ Research Scientists at the Max Planck Institute for Demographic Research
Pekka Orponen
pekka.orponen at aalto.fi
Thu Feb 21 22:23:05 EET 2019
-------- Forwarded Message --------
Subject: [DMANET] Job Posting: Post-Docs/ Research Scientists at the Max
Planck Institute for Demographic Research
Date: Thu, 21 Feb 2019 13:40:37 +0100
From: Samin Aref <sare618 at aucklanduni.ac.nz>
To: dmanet at zpr.uni-koeln.de
*The Max Planck Institute for Demographic Research (MPIDR) is recruiting
highly qualified Post-Docs/Research Scientists, at various levels of
seniority, to join the Laboratory of Digital and Computational Demography
<https://urldefense.proofpoint.com/v2/url?u=http-3A__demogr.mpg.de_en_laboratories_digital-5Fand-5Fcomputational-5Fdemography-5F5555_default.htm&d=DwMFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=tefJEbrJIRrL76KxmGnc34YeTk620JWXlFva83JDYlY&s=c6ESldbTPBcaognFJhBxSUu1g72a6_hUoLFXL6pX8V4&e=>.*
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, headed by MPIDR
Director Emilio Zagheni, is looking for candidates with a background in
Demography, Data Science, Computer Science, Statistics, Economics,
Sociology, Geography, Applied Mathematics, Public Health, Public Policy,
or related disciplines.
The successful candidate must have a PhD (or receive it soon) and is
expected to conduct cutting-edge research that produces methodological
advances in the field of Digital and Computational Demography and/or
answers important questions in the following key substantive areas of
demography: (i) Migration and mobility; (ii) generational and gender
relationships; (iii) Environment and disease dynamics.
The growing Lab of Digital and Computational Demography intends to bring
together methodologists (from areas like Statistics, Computer Science or
Mathematical Demography) with expertise in areas of 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.
Examples of project areas relevant for the Lab include (but are not
limited to):
1. Combining traditional data sources as well as those that emerge from
the digitalization of our lives to study demographic processes, like
migration, fertility, 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.
Applications (in English) have to be submitted online via
www.demogr.mpg.de/go/JobAd396185
<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.demogr.mpg.de_go_JobAd396185&d=DwMFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=tefJEbrJIRrL76KxmGnc34YeTk620JWXlFva83JDYlY&s=7hr0uyWPzIcqdf6cKcCYkaIYxBmOb537vchZZzhzY6Q&e=>
and
include the following documents:
- Curriculum Vitae
- Letter of interest (Max 1 page)
*Briefly state why you are interested in joining MPIDR, how MPIDR
could foster your professional development and career trajectory, and in
which ways your interests fit the research strengths of MPIDR. *
- Research Statement (Max 2 pages)
*Briefly describe your research accomplishments, as well as ongoing
and future research plans. Please also describe your technical skills,
areas of expertise, as well as the type of advanced training that you
would like to receive as a research scientist.*
- Names and contact information for 3 academic references
- One or two writing samples or publications
In order to receive full consideration, applications should be received
by *March 14, 2019.* The starting date is flexible, but no later than
Fall 2019. Successful applicants will be offered a 3-year contract with
remuneration commensurate to experience (starting from approx. 54,000
EUR gross per year for researchers who have just completed their PhD, up
to approx. 74,000 EUR gross per year for more senior scientists), based
on the salary structure of the German public sector (Öffentlicher
Dienst, TVöD Bund).
The Institute has an excellent work environment and offers family
friendly work arrangements (flexible working hours, teleworking, and
guaranteed places in day-care centers for children), occupational health
promotion, and opportunities for continuous further training.
For inquiries about the positions, please contact sekzagheni at demogr.mpg.de.
For information about the Institute, please use the following website link:
www.demogr.mpg.de
<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.demogr.mpg.de_&d=DwMFAw&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=tefJEbrJIRrL76KxmGnc34YeTk620JWXlFva83JDYlY&s=tGtRMZgXlD_ECsIjkDv5JD8nQmsDsnSEq0qo8unmSh4&e=>
.
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.
*Samin Aref*
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