Five Andrew W. Mellon Postdoctoral Fellowships in the Humanities are available for the 2019–2020 academic year on the general theme of KINSHIP. Open to untenured junior scholars holding a PhD (no more than eight years out of doctorate, with degree between 12/2010 and 12/2018). Research proposals from all humanistic disciplines and allied areas (e.g., anthropology, history of science) are eligible, except for educational curriculum-building and the performing arts (scholars of performing arts are eligible). Fellows teach one undergraduate course during the year in addition to conducting their research and must be in residence during fellowship year: August 1–May 31. Stipend: $56,225 plus single-coverage health insurance and a $3000 research fund.

The College of New Jersey’s Department of Sociology and Anthropology is seeking an adjunct instructor to teach one section of ANT 110: Introduction to Cultural Anthropology in Fall 2018.

Minimum qualifications include: a M.A. degree in Anthropology and prior college-level teaching experience with introductory courses in Anthropology OR a specialization in Anthropology and experience teaching college students. Ph.D. or ABD preferred.

Course time:  Tuesdays and Fridays 9:30am-10:50am from August 28 to December 7, 2018

Bulletin Course Description: A survey of the major concepts of social-cultural anthropology. Cross-cultural comparison will be a central concern of the course, as will the process of cultural change.

Contact Information

To apply, please submit a letter of interest, cv, and teaching evaluations if available to Department of Sociology and Anthropology at socanth@tcnj.edu  Application review will begin immediately. Please note, this course is taught at TCNJ Campus, Ewing, NJ (not online). Only those within a reasonable commuting distance will be considered.

A final offer letter of employment will be contingent upon satisfactory completion of a background investigation.

The successful candidate will be expected to develop and maintain an energetic, cutting-edge, highly visible research program; advise graduate and post-graduate research; develop and maintain extramural funding for their research program; and teach graduate and undergraduate courses in the management and implementation of reproductive health and social policy, or develop new courses in their area of expertise, as appropriate. The successful candidate’s research will also address either underlying causes of or pathways to reproductive health and health disparities or the consequences of these disparities and the communities most adversely affected by reproductive inequities in the United States.

This position is part of the Reproductive Equity Cluster, which was developed in order to build cross-disciplinary research expertise necessary to examine the drivers and consequences of inequities in reproductive health and to identify potential solutions. Areas of research could include health care policy, special policy, structural, and individual factors related to family planning, fertility/infertility, maternal and infant mortality, and other aspects of maternal and child health as they relate to policy and practice. It is expected that the successful candidate will focus on health disparities and health equity. A major purpose of the cluster is to build on existing strengths on campus. Ultimately, it is a goal that an expansion of this work at UW-Madison will translate into greater health equity and improved health and well-being of residents of Wisconsin and beyond.

The interdisciplinary, comprehensive focus of the cluster will be used to expand research activity in this area and add greater diversity to the voices engaged in these discussions, particularly with respect to health disparities and inequities, and program and policy effects on disparities, whether due to geography, socio-economic status, race, ethnicity, or program delivery.

Candidates should have an interest in collaborating with the cluster and with colleagues in schools, centers, and training programs across campus such as the School of Medicine and Public Health, Population Health Sciences, the LaFollette School of Public Affairs, the School of Work, the School of Human Ecology, the Institute for Research on Poverty and the Center for Demography and Ecology.

The successful candidate for this position will be expected to develop and maintain an energetic, cutting-edge, highly visible research program; advise graduate and post-graduate research; develop and maintain extramural funding for their research program; and teach graduate and undergraduate courses in the management and implementation of reproductive health and social policy, or develop new courses in their area of expertise, as appropriate. Reproductive health includes, but is not limited to public policies surrounding fertility, birth control, in-utero health, post-partum health and early childhood development, as they affect health disparities, whether due to geography, socio-economic status, race, ethnicity, or program delivery and health equity.

The Reproductive Equity Cluster:
This position is part of the Reproductive Equity Cluster, which was developed in order to build cross-disciplinary research expertise necessary to examine the drivers and consequences of inequities in reproductive health and to identify potential solutions. Areas of cluster research could include health care policy, social policy, structural, and individual factors related to family planning, fertility/infertility, maternal and infant mortality, and other aspects of maternal and child health as they relate to policy and practice. It is expected that the successful candidate will focus on health disparities and health equity and the ways in which policy and practice effect same.

A major purpose of the cluster is to build on existing strengths on campus. Ultimately, it is a goal that an expansion of this work at UW-Madison will translate into greater health equity and improved health and well-being of residents of Wisconsin and beyond. The interdisciplinary, comprehensive focus of the cluster will be used to expand research activity in this area and add greater diversity to the voices engaged in these discussions, particularly with respect to health disparities and inequities, and program and policy effects on disparities.

Candidates should have an interest in collaborating with the cluster and with colleagues in schools, centers, and training programs across campus such as the School of Medicine and Public Health, Population Health Sciences, the LaFollette School of Public Affairs, the School of Social Work, the School of Human Ecology, the Institute for Research on Poverty and the Center for Demography and Ecology.

Master’s level Biostatistician in the Study Design and Biostatistics Center (SDBC) at the University of Utah
The Study Design and Biostatistics Center (SDBC) at the University of Utah is seeking a MS level biostatistician to play leadership roles in collaborations with clinical and translational investigators. The successful candidate will work effectively in a multidisciplinary group setting in areas of design of data collection instruments, study design, statistical programming, management and analysis of data, graphical presentation of data and writing of reports which include explanations of the statistical methods used and interpretation of results. The duties require skills in data analysis, interest in new statistical methods, and mastery of at least one statistical programming language.

This position will support the Center of HOPE, which houses multiple intensive longitudinal datasets including ecological momentary assessments, streaming physiology, and GIS tracking. An ideal candidate will have the ability to work under the direction of PhD level statisticians to master current methods for analyzing intensive longitudinal data and conduct analyses of micro-randomized trials and sequential multiple assignment randomized trials (SMART). Solid knowledge of statistical methods including multiple regression, longitudinal data analysis, categorical data analysis and survival analysis is required.

Please attach the following when applying: 1) Resume, 2) Cover letter, 3) Transcript and 4) Names and email addresses for three professional references.

MEASURE Evaluation, funded by the United States Agency for International Development, is pleased to announce the international workshop on “Impact Evaluation of Population, Health and Nutrition Programs,” for English speaking professionals. The workshop is sponsored by the Institute for Population and Social Research (IPSR) at Mahidol University and MEASURE Evaluation, in collaboration with the Global Evaluation and Monitoring Network for Health (GEMNet-Health). The two-week course will be held from October 1-12, 2018 in Bangkok, Thailand.

Taught in English, the course is designed for mid-level health and population researchers, administrators, program managers, and other professionals involved in the implementation and evaluation of population, health, and nutrition programs. The course provides intensive, hands-on training in impact evaluation with an emphasis on statistical methods for professionals currently involved in related activities.

The total course fee is USD 3,975 inclusive of the workshop tuition, accommodation, partial board (breakfast daily and lunch on days when the workshop is in session), and round-trip airport transfers.

Applications must be submitted to the Institute for Population and Social Research (IPSR) by August 10, 2018.

The International Initiative for Impact Evaluation (3ie) will fund five bursaries for qualified Asian candidates, with preference given to those working in 3ie member organizations in Asia.

Under the direction of the Principal Investigator (Prof. Peter Bearman), the successful candidate will play an integral role in a large-scale research project on labor migration to Gulf Coast Countries. The Research and Empirical Analysis of Labor Migration (REALM) research program is designed on a PO1 model: An administrative and data core at Columbia University supports a series of substantively interlinked projects, all of which seek to understand an aspect of low-skilled labor migration, ranging from recruitment processes to impacts on sending communities. The primary task will be analysis of original survey data arising from REALM projects based in India, Sri Lanka, Pakistan, Bangladesh, and Nepal. These surveys include information on socioeconomic and health outcomes of general interest and unique to the migration process, as well as detailed data on social networks, recruitment pathways, migration financing, and risk perception. Candidates should hold a doctoral-level degree in the social sciences or a related field.  Ideal candidates will have a background or interest in migration, the sociology of labor, or social network analysis, and have the capacity to be self-directed. Strong statistical skills, documented experience in analyzing large data sets, and a record of peer-reviewed publications are highly preferred qualifications. Although the candidate will dedicate most of their effort to the project’s research activities, they will be encouraged to pursue independent research interests.

Objectives: The long term persistence of our human dominated global system requires meeting the needs of current generations without compromising the ability of future generations to meet their needs. Threats to sustaining our societies include climate change, anthropogenic extinctions, depletion of non-renewable resources, deteriorating ecosystem services, potential failures to maintain infrastructure, educational and health achievements, and security threats posed by unstable political systems. Sustainability is a major intellectual challenge in addition to being a practical policy challenge. Answering these challenges requires a true multi-disciplinary approach.

The complexity of the earth system makes precise forecasting of the future impossible, so any decisions we take to favor (or not) sustainability are taken under great uncertainty. Future technological tools to manage human impacts are uncertain. Thus we don’t know the possibilities for substituting human capital for depleted natural capital. The response of global temperature to greenhouse gas forcing, perhaps the most intensively studied sustainability issue, is estimated with coupled ocean-atmosphere climate models that give a large range of predictions. They also have to leave out many feedback processes that may be important due to computational and data limitations. The political institutions to manage global scale sustainability issues are weak, with nation-states being the strongest actors. Nation-states themselves often are not particularly stable or competent to manage their own commons issues. Issues of intra- and international inequalities can vex decision-making. Many social scientists, natural scientists and mathematicians are actively working on theoretical and empirical topics related to sustainability. For example, recent mathematical modeling suggests that the natural-human capital substitutability problem is more tractable than thought a few years ago. Cultural evolutionary modeling and empirical work to understand the processes of social and political change has advanced quickly in recent years and can potentially provide useful tools to understand the human dimensions of sustainability.

Building on earlier efforts, including NSF’s workshop Toward a Science of Sustainability (2009), and DIMACS’ workshop Mathematical Challenges for Sustainability (2010), this workshop will review the state of sustainability theory. Major themes of the workshop include the role of cultural evolution, the role of evolving technology and R&D investments, diffusion of technology, uncertainty in ecosystem management, models of institutional change, and non-autonomous dynamics of important socio-environmental processes, e.g. climate change. We will convene approximately 40 participants drawn from a broad range of active scholars from the fields of economics, socio-political evolution, the natural sciences and mathematics to present the latest developments in their fields. Based on these presentations, the participants will discuss where the most promising areas for new research lie. We will look for gaps in the modeling enterprise, particularly ones opened up by disciplinary divergences and new empirical findings.