The Department of Sociology invites applications for Director of the Center for Social Science Instruction (CSSI).  Successful candidates will excel at instruction and have a solid background in statistical computing and quantitative methods.  You will not have research responsibilities; however, we seek candidates with interest or background in pursuing external research funding because the position may involve assisting faculty with grants.  We encourage applications from candidates who are familiar with and committed to inclusively serving students from diverse backgrounds.

The Director is responsible for teaching three to four classes a year, with the primary purpose of providing courses required by students pursuing the Sociology Bachelor of Science degree.  The Director is also responsible for maintaining two Sociology Department labs.  The Director will also further the mission of the CSSI by supervising senior theses (one of the B.S. requirements) and by assisting Sociology Majors, other students, and faculty in their research projects.  The Director is also responsible for a variety of other administrative roles that are elaborated below.  This is a 10.5 month, non-tenure track and academic administrator appointment, based on a 4 year continuing contract.

 

The 2018-19 supplemental budget required and funded work at the Office of Financial Management
(OFM) to promote a complete count of Washingtonians in the 2020 census. Based on a Census Bureau
recommendation and experience in other states in 2010, OFM is assembling a “Complete Count
Committee” of key stakeholders and prominent individuals, particularly among hard to count
communities, to develop strategies, activities and documents to promote a complete count of Washington
residents. This position is located in OFM’s Forecasting and Research Division, which has been charged
with implementing the census work. This position is to focus on recruiting and staffing the Complete
Count Committee effort with a staff team that includes a general Census 2020 Coordinator who is project
manager for the overall effort. Some of the responsibilities include:

• Serving as the lead staff person interacting with the Complete Count Committee Chair. It is assumed
  that the Chair is a highly visible public figure and the staff person will need to have high-level
  professional and organizational skills to meet those demands.
• Coordinating and supporting the Complete Count Committee.
• Coordinating and supporting subcommittees of the Complete Count Committee. Most of the work of
  the Committee will occur between meetings and be done by subcommittees.
• Communicating about Complete Count Committee efforts.

The Department of Population, Family and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health is recruiting two tenure-track faculty members at the rank of Assistant or Associate Professor. The successful applicants will apply a life course perspective in pursuing innovative research addressing an area of Population Science.

Scholarship will be evidenced by contributions to the scientific literature and increasing recognition in their field of interest. The selected individuals will be encouraged to build on the existing strength of the faculty within the Department, and as appropriate, work with faculty across the School and the University while building an independent research portfolio. New faculty members are expected to become fully integrated into the department’s graduate education and student mentoring activities. Departmental resources and faculty mentorship will support development of an externally funded research program. A doctoral degree in public health, biology, psychology, social science, medicine, demography, or related fields is required. Rank will be commensurate with experience.

The University of Minnesota invites applications for a full-time faculty member at the Associate or Full Professor level with interests in demography and population studies who can actively and innovatively advance the missions of the University, the Minnesota Population Center (MPC), and its affiliated colleges and academic units. This is an open-discipline/area search. The tenure home will be determined based on the candidate’s background/interests, in consultation with the appropriate colleges and academic units, and in accordance with University policy. One-half of teaching and service obligations will be fulfilled in MPC as part of the population studies program.

Housed in the University of Minnesota’s Institute for Social Research and Data Innovation (ISRDI), the MPC is a hub for interdisciplinary population research. Its members include more than 100 faculty, research staff, and student affiliates from two dozen academic units across ten colleges in the University. Established in 2000 and funded by the National Institutes of Health, MPC cultivates innovative population research by providing a stimulating environment for interdisciplinary exchange, a vibrant and growing population training program, and generous research support services designed to develop and nurture promising areas of new population research. Research and training at the MPC are characterized by a focus on four core substantive areas: population health and health systems; population mobility and spatial demography; reproductive and sexual health; and work, family, and time. Affiliates of the MPC benefit from co-location with the renowned IPUMS data infrastructure projects, the University of Minnesota’s Life Course Center, and the Minnesota Research Data Center (which is part of the Federal Statistical Research Data Center Network).

The University of Minnesota provides equal access and opportunity without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. MPC and its affiliated units support the work-life balance of their faculty and staff, have a history of accommodating dual academic career couples, and encourage applications from women and members of under-represented groups. The University offers excellent and affordable health care and retirement benefits.

Applications are currently being accepted for a postdoctoral position in species distribution modeling and conservation at NIMBioS and in the Department of Ecology & Evolutionary Biology at the University of Tennessee, Knoxville. The postdoctoral fellow will work with UT faculty (Paul Armsworth, Xingli Giam and Mona Papeş) as part of an interdisciplinary team researching how to account for the combined effects of land use change and climate change when designing conservation strategies for the Appalachian region. The postdoc will join a community of postdoctoral scholars at NIMBioS and UT Knoxville’s ecology program, one of the top 10 percent of ecology units in the U.S.

This PhD project seeks to systematically assess the environmental footprint and consequences of population movement in both migration source and destination areas. It builds on theories of migration as social transformation ¹, demographic metabolism ², sustainability science ³ and migration transition theories ⁴, to incorporate migration into the sustainability paradigm.

The project involves three activities designed to build on knowledge and expertise of the co-supervisory team. First, the research will systematically detail the processes by which migration types (from rural-rural, frontier, rural-urban, international and seasonal): a) create the potential for transformations of well-being; b) affect sustainability indirectly through changing labour demand, resource pressures and demands for services; and c) affect sustainability directly through changing consumption and resource use patterns. The research integrates migration transition types with data on environmental impact, trajectories, and behavioural responses to environmental risks.

Second, the research will develop empirical models to provide country-level patterns of the role of migration in sustainability. The model will be calibrated using existing publicly available demographic, economic, social and political data available from diverse sources: e.g. international migration flows; internal migration flows, and sustainability and environmental data.

The third element involves testing the robustness of the general model through collecting new empirical data on the social processes and environmental outcomes from one major international migration flow: from a selected Pacific island source country, to Australian destination cities and towns. This will involve survey and in-depth social methods collecting data with migrants, return migrants and left-behind populations in both the Pacific island economy and Australia.

The outcome of the project will be the first migration-sustainability model operationalized for all countries and an in-depth examination of its robustness using a discrete international migration flow. Both represent major contributions at the interface of migration studies and sustainability science.

The Panel Study of Income Dynamics (PSID), begun in 1968, is the world’s longest-running multigenerational household panel study. It is used widely in behavioral, social, and health sciences to investigate scientific and policy questions about life course trajectories in health and well-being, intergenerational social and economic mobility, income and wealth inequality, family investments in children, neighborhood effects on opportunity and achievement, and many other topics.

This five-day workshop will orient participants to the content and structure of the core PSID interview, its special topics modules, and its supplemental studies, including the 1997-2007 and 2014 Child Development Supplements (CDS I-III and CDS-2014), the Transition into Adulthood Supplement (TAS), the Disability and Use of Time Supplement (DUST), and the Childhood Retrospective Circumstances Study (CRCS).

Morning sessions will include lectures on topics such as study design, changes to content and sample composition over time, rules for following sample members into new households, and weighting. Classroom demonstrations using PSID data extracts will illustrate key concepts. In afternoon lab sessions, participants will develop their own analytic data files under the guidance of project staff.

Eligibility: The workshop is designed for faculty, research professionals, postdoctoral fellows, and graduate students.

Software: Participants should be familiar with Stata or SAS, but all examples used in the workshop will be in Stata.

Application: Enrollment is limited to 25 participants. Apply using the Summer Program Portal (by clicking on the “Registration” tab at the top of this page) to provide your information and select the course. Also, upload the following documents via the Portal:

• Current curriculum vita.
• Cover letter summarizing research interest in this course and in PSID data.
• Indicate how the workshop will help you meet your research or your educational goals.

Stipends: Admitted graduate students, post-doctoral scholars, and junior faculty or researchers can request to be considered for a stipend to help with travel and housing costs. To be considered, applicants must include in their application:

• A one-page or shorter statement that describes why attending the PSID workshop is important to your success, what you hope to gain from the workshop, and any sources of funding you expect to receive to cover the costs of attending the workshop.
• Letter of recommendation from faculty adviser, project manager, or Department Chair. Your letter writer should directly submit their recommendation to the ICPSR Summer Program at sumprog@icpsr.umich.edu and include your name and “PSID Workshop” in the subject line or body of the email.
  • Letter writer’s contact information (email address or telephone number) to be included in the letter of recommendation.
• Stipend requests must be received no later than April 13, 2018.

Deadline: April 13, 2018.

Sponsor: Panel Study of Income Dynamics (PSID)

Fee: $100 — to be assessed only after applicants have been accepted into the workshop.

Job summary

Applications are invited for the post of Research Assistant or Associate to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London.
We are seeking outstanding candidates for projects developing new statistical methods and mathematical models for inferring HIV epidemic trends and transmission dynamics in sub-Saharan Africa.

Potential projects include:

New geostatistical models for spatio-temporal inference about HIV incidence in sub-Saharan Africa.

Developing statistical and mathematical models for combining administrative health system data and population survey data to understand HIV patterns and trends.

Validating approaches for utilizing HIV case surveillance data for epidemic estimation in sub-Saharan Africa.

Modelling and analysis of novel HIV surveillance strategies leveraging biomarkers for recent HIV infection and optimal design for new surveillance platforms.

Analysis of HIV epidemic trends and transmission dynamics in general population HIV cohort studies.

Duties and responsibilities

The post holder will collaborate closely with epidemiologists and mathematical modellers in the Department of Infectious Disease Epidemiology, and the statistics section within the Department of Mathematics and Data Science Institute. Various projects will also involve collaboration with external partners including UNAIDS, US Centers for Disease Control, PEPFAR, ministries of health and public health agencies, and the ALPHA Network of general population HIV cohort studies.

New methods and models will be expected to inform the work of the UNAIDS Reference Group on Estimates, Modelling, and Projections (www.epidem.org), which is an international collaboration of epidemiologists, statisticians, demographers, and surveillance experts who advise UNAIDS on methods and data underpinning global HIV epidemic estimates. The UNAIDS Reference Group is coordinated by a secretariat based at Imperial College London and the University of Cape Town.

Essential requirements

Applicants should have a PhD (for appointment to Research Associate) or MSc (for appointment to Research Assistant) in one of the following areas: statistics, mathematics, infectious disease epidemiology, population biology, theoretical physics, computer science or a similarly quantitative discipline, research experience in applied statistics with application to population health or infectious disease, including spatial statistics, Markov models, time series analysis, or hierarchical modelling and Working knowledge of mathematical modelling relevant to the project

Further information

This post is full time and fixed term until 30 November 2019 and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.

Should you have any queries please contact: Dr Jeff Eaton (jeffrey.eaton@imperial.ac.uk) or Dr Seth Flaxman (s.flaxman@imperial.ac.uk).

Job summary

Applications are invited for the post of Research Assistant or Associate to join The UNAIDS Reference Group on Estimates, Modelling, and Projections (www.epidem.org), an open group of international experts on HIV epidemiology, surveillance, and modelling who provide scientific guidance to UNAIDS and partner organizations on the methods and data used for global HIV epidemic estimates and projections. The Reference Group is coordinated by a Secretariat based at Imperial College London and the University of Cape Town.

Duties and responsibilities

The purpose of this post is to manage the research of the UNAIDS Reference Group secretariat. As a member of the Secretariat, along with Dr Jeff Eaton (Imperial) and Dr Leigh Johnson (UCT), the post holder’s main responsibility will be to coordinate and synthesise research activities of Reference Group partners and collaborators, and conduct relevant research on HIV epidemiology, statistics, and modelling that contribute towards the objectives of improving global HIV estimates and projections.

As the post involves organisation of international workshop meetings, engagement with HIV stakeholders, and collaborative research projects, as well as dissemination of Reference Group research findings, this post will involve a high degree of external visibility.

Essential requirements

Applicants should have a MSc (for appointment to Research Assistant) or PhD (for appointment to Research Associate) or equivalent substantial experience in one of the following areas: epidemiology, public health, demography, statistics, or a similar discipline. You should be able to demonstrate substantial experience and familiarity with international HIV stakeholders and the research community. You will also have the experience and ability to independently identify, develop, and deliver major areas of work related to HIV epidemiology and modelling.

Further information

This post is full time and fixed term until 31 December 2019 in the first instance and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.

Should you have any queries please contact: Dr Jeffrey Eaton (jeffrey.eaton@imperial.ac.uk)