Author Archives: dhou1

Postdoc in Demography | University of Southern Denmark

Postdoc in Demography

The Interdisciplinary Centre on Population Dynamics (CPop) at the University of Southern Denmark, Odense, invites applications for one or more postdoctoral positions. The starting date is flexible; however, we hope to welcome our new colleague(s) as soon as possible, and no later than January 1, 2026. The duration of the positions is between 1 to 2 years, with the possibility of some extension beyond 2 years, depending on the starting date.

The Center

CPop conducts cutting-edge research on survival, longevity, and population aging, with a focus on policy, economic, and cultural implications. The centre is recognized for its strong profile in analytical demography, demographic modelling, and forecasting.

Its research meets the highest international standards, demonstrated by publications in leading journals, presentations at global conferences, competitive external funding, and wide-reaching societal impact.

CPop is also committed to research-based teaching, employing innovative methods to enhance student learning. It oversees a graduate programme in Population Studies.

The centre fosters an inspiring academic environment and strives to attract and retain talented scholars dedicated to excellence and CPop’s continued development. 

The position

The candidate will join an international team of researchers and will be involved in a prestigious EU-funded research project, the ERC Consolidator Grant “Born Once – Die Once”. The project aspires to work “Towards a transdisciplinary demographic theory of birth and death trajectories”. Knowledge and/or research interest in formal demography in general, and modeling and investigating age-trajectories of mortality and fertility in particular, are an advantage. This is an excellent opportunity for recent PhD graduates to apply their innovative analytical and/or statistical skills to venture into exploring formation (birth) and dissolution (death) patterns within populations of individuals (men and women) and collectives (couples, families, households) to discover and model macro level regularities that eventually shall help reveal general principles of birth, renewal, aging, and death. 

Required qualifications

  • PhD in demography, mathematics, statistics, economics, biology, physics, or any other quantitative science.
  • Knowledge of/or strong interest in population studies and formal demographic methods 
  • Experience in statistical analysis, and/or mathematical modeling and/or forecasting of, preferably, fertility 
  • Experience in working with human fertility data and/or with mortality data and/or with registry data on couples, families and/or households
  • Fluency in programming (e.g., R)
  • Proficiency in spoken and written English.

Further information about the position can be obtained from Professor Annette Baudisch, e-mail: baudisch@biology.sdu.dk, tel.: +4565509355. For general questions regarding housing, taxes etc., the SDU’s International Staff Office can assist – see link.

Application, salary, etc.

The successful applicant for the postdoc position will be employed in accordance with the agreement between the Danish Ministry of Finance and AC (the Danish Confederation of Professional Associations). 

An application must include:

  • Motivational letter
  • Detailed CV
  • Certificates/Diplomas (Master and PhD degree).
  • A brief research plan that describes the relation of your research agenda to the research project.
  • Complete list of publications, indicating which publications are most relevant for the position.
    • Please upload a pdf for each publication. If your publications have been co-authored, please briefly describe the extent of the co-authorship or your contribution to the individual joint publication. You can do so by using this form or you can describe the co-authorship in such a way that the committee can assess the extent of your contribution 
    • Please attach the PhD dissertation as a publication if such exists. 

The application deadline is June 23, 2025. 

General Research Assistant | CECEI

CECEI is seeking Research Assistants to assist with Center projects. Current projects include Evaluation of Trauma Sensitive Pedagogy course, Evaluation of Maryland Family Network’s Strong Families Community-Based Child Abuse Prevention (CBCAP) programs, and Implementation of the Maryland Early EdCorp CDA Apprenticeship program.

Research Assistant | CECEI

CECEI is seeking an Undergraduate or Graduate Research Assistant who will assist with producing blog and social media content and organizing outreach efforts, review CECEI/project websites, suggest revisions, and update content and formatting using Drupal (training provided), and provide other project support as needed within CECEI.

Graduate Research Assistant Research | MCRIC 

Expanded Development of Body-Worn Camera Analytics for Community and Officer Safety is a project that aims to develop algorithms to automatically detect and predict use of force, as well as escalation and de-escalation in police officer-civilian interactions that are captured in Body-Worn Camera (BWC) footage data. This project is in collaboration with the Baltimore Police Department (BPD) and has been funded by Maryland Governor’s Office of Crime Prevention and Policy. The interdisciplinary research team consists of researchers from the Department of Criminology and Criminal Justice and the Department of Electrical and Computer Engineering at UMD and the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln. The project end date is June 30, 2025.

The research assistantship involves up to 40 hours per week of working collaboratively within an interdisciplinary team. The duties of the research assistantship may include contributing to the following project activities:

  • attending project meetings (virtual) and possibly observing BPD de-escalation training sessions (in person);
  • conducting literature review on use of force, escalation and de-escalation; and
  • writing the final report and a grant proposal to continue the research project.

If you have an interest in research on policing, police community relations, use of force, technology, this send Bianca Bersani (bbersani@umd.edu) an email ASAP (by Friday, May 23rd), with a short note about your interests, and a CV noting skillsets. 

Fall 2025 Course Announcement: EDHD 779A

EDHD 779A: How to Write More and Write Better: An Academic Writing Seminar

Class Times: Mondays 1:00-3:45
Location: Benjamin 2102
Instructor: Geetha Ramani
Credits: 3

Is writing a skill you want to improve in graduate school? Do you struggle with how to set reasonable writing goals? 

In EDHD779A, we focus on strategies for becoming better scientific writers, creating realistic goals for your writing projects, and understanding healthy academic writing practices. The course will cover various critical types of writing you will need to succeed as an academic (e.g., scientific articles, grant/fellowship proposals, literature reviews). We will also focus on several aspects of professional development related to academia, such as translating research for a broader audience.  

Grad School Survey

The deadline for GradSERU has been extended to May 9th.  This week, you will receive your invitation to complete the Graduate Student Experience in the Research University (gradSERU) survey. If you haven’t already done so, I encourage you to take the time to take this survey and contribute your thoughts on how the University can improve the experiences of graduate students on campus. You may log in to the survey HERE. Be entered to win $700 for your student fees by completing this survey. 

As the only comprehensive survey for graduate students, gradSERU is a powerful way for you to tell us about what’s working well, and what not so well, in classrooms, labs, and campus life. The more students who complete the survey, the better we will be able to respond to your concerns and strengthen graduate education at the University of Maryland.

GradSERU is a partnership between The University of Maryland Graduate School and Etio Global and will be sent from umd@etioglobal.org.  If you have any questions, please contact Evelyn Cooper, Assistant Dean & Chief of Operations, at gradschool@umd.edu.

MAC Lecture 

Please join us this Wednesday (4/9) from 1-3pm for the second MAC workshop of this spring semester, featuring Dr. Arianna Gard from the Department of Psychology. Her talk is entitled: “Random Intercepts Cross-lagged Models using Longitudinal Data from the Future of Families and Child Wellbeing Study”. The talk will take place in GEOG Conference Room LeFrak 1158.

Post-Doc Research Associate | The Woodlawn Study

Post-Doc Research Associate

Job Description Summary

Join the Woodlawn Study Team!
We are excited to share the availability of a 2-year post-doctoral research associate at the University of Maryland School of Public Health. Led currently by Dr. Kerry Green, the Woodlawn Study is a longitudinal community cohort study that began as a school-based intervention in 1966. This rich longitudinal study spans over 50 years with the most recent interviews conducted with cohort members at age 62 in 2022-2024. More information about the study can be found at www.woodlawn.umd.edu.

Key responsibilities:

  • Analyze the existing Woodlawn datasets (age 6, age 16, age 32, age 42) to identify life course factors that impact the aging experience at 62
  • Write and publish articles in peer-reviewed journals
  • Present study findings at scientific meetings
  • Assist with the preparation of applications for external funding
  • Collaborate with the research team to build knowledge

Additional Benefits:

  • Work closely with the research team in a collaborative environment
  • Develop skills in quantitative data analysis
  • Opportunities for first-authored manuscripts
  • Mentorship in grant writing
  • Faculty status at the University of Maryland

MINIMUM QUALIFICATIONS:

  • PhD in Public Health or a related field by the start date
  • Interest in the aging process
  • Experience analyzing quantitative data, particularly longitudinal data and latent variable modeling
  • Passion for life course research, urban health, and underserved populations

PREFERENCES:

  • Familiarity with national aging datasets (e.g., Health and Retirement Study)
  • Familiarity with Stata, R, and SPSS

Best Consideration Date: 4/17/2025