Office of the Dean of the Graduate School

African American Studies

AAS 201 — African American Studies and the Philosophy of Race

This course introduces students to the field of African American Studies through an examination of the complex experiences, both past and present, of Americans of African descent. Through a multidisciplinary perspective, it reveals the complicated ways we come to know and live race in the United States. Students engage classic texts in the field, all of which are framed by a concern with epistemologies of resistance and of ignorance that offer insight into African American thought and practice.

Instructor(s):Eddie Steven Glaude Jr.; Dannelle Gutarra Cordero

If interested please contact:
Name: Jana Johnson
E-mail: jana.johnson@princeton.edu
Phone:

Position 1 Primary Duties:
Assistant Instructors in the Department of African American Studies are expected to attend all lectures in addition to their precept sections, as well as to schedule at least two office hours per week.

Number of AI Hours with Position: 2

Background Required:
Completion of AAS 500 Introduction to African American Intellectual Tradition is a plus but is not required. Candidates are expected to have a general background in African American Studies. All candidates must have completed the AI Orientation offered by the McGraw Center for Teaching and Learning by the time classes begin.

American Studies

AMS 101 — America Then and Now

An introduction to the interdisciplinary field of American Studies that takes "America" as a challenging analytical category rather than a given. Employing literature, theatre and performance, history, visual culture, and politics, this course examines the idea of America in its global, national, community contexts and its material and imaginary manifestations. We will explore a series of central concepts such as "citizenship," "family," and "imperialism," teasing out the tensions and paradoxes that historically structure these terms, while focusing on signature ideas, concerns, and debates that have made the nation what it is today.

Instructor(s):Aisha M. Beliso-De Jesús; William Albert Gleason; Stacy E. Wolf

If interested please contact:
Name: Judith Ferszt
E-mail: jferszt@princeton.edu
Phone: 609 258-6771

Position 1 Primary Duties:
Attend 80 minute lecture as well as faculty planning sessions and teach one 80-minute precept weekly. Set office hours to meet with students and assign grades. Several precepts to be staffed.

Number of AI Hours with Position: 1.5 each precept

Background Required:
Preferably experience teaching in an interdisciplinary setting.

ASA 225 — 'Too Cute!': Race, Style, and Asiamania

What does a minor and shallow category like "cuteness" have to do with the abject histories of race and gender? This course offers an introduction to key terms in Asian American Studies through the lens of the seemingly insatiable American appetite for "Asian cuteness." How do we reconcile this desire with the long history of anti-Asian sentiments in this country? Why aren't other races "cute"? We will explore cuteness as racial and gendered embodiment, commodity, globalization, aesthetics, affect, and politics. Above all, we explore the implications of understanding race as a style.

Instructor(s):Anne Cheng

If interested please contact:
Name: Judith Ferszt
E-mail: jferszt@princeton.edu
Phone: 609 258-6771

Position 1 Primary Duties:
Attend two 50-minute lectures and teach one 50-minute precept per week. Set office hours to meet with students and assign grades. Several precepts to be staffed.

Number of AI Hours with Position: 1 hour each

Background Required:
Preferably experience teaching in an interdisciplinary setting

Engineering

EGR 200 — Creativity, Innovation, and Design

The class mission is to give students an understanding of the sources and processes associated with creativity, innovation, and design - three interdependent capabilities essential to our own well being, as well as to the well being of society. We will study the internal and external factors that relate to our own ability to create, innovate, and design. We will also understand the factors that impact a group's ability to act creatively, to innovate, and to produce practical and appealing designs. The class will consist of readings and case studies as well as individual and group projects.

Instructor(s):Christopher H MacPherson; Rafe Hanan Steinhauer

If interested please contact:
Name: Victoria Dorman
E-mail: vdorman@princeton.edu
Phone: 6092588676

Position 1 Primary Duties:
helping professors with course materials, organizing student teams for projects and grading assignments

Number of AI Hours with Position: 6 AI hours for two sessions ( lecture and lab); 3 AI hours for one session (lecture and lab)

Background Required:
interest in design thinking

Engineering

EGR 201 — Foundations of Entrepreneurship

Entrepreneurship is about creating value for the benefit of others. It is about innovating, marshalling limited resources, inspiring teams, and persisting through challenges and uncertainty, often by trying, learning from what happens, and trying something better. EGR 201 is designed to equip each student with the approaches and concepts of entrepreneurship and how to apply them to achieve positive change in whatever endeavors they choose to pursue. The course employs several experiential methods of teaching and learning so students will understand how they can follow an entrepreneurial path in organizations and in life.

Instructor(s):Joy S. Marcus

If interested please contact:
Name: Victoria Dorman
E-mail: vdorman@princeton.edu
Phone: 6092588676

Position 1 Primary Duties:
helping professors with course materials, organizing student teams for projects and grading assignments

Number of AI Hours with Position: 3 AI hours

Background Required:
interest in entrepreneurship

Engineering

EGR 301 — The History of Entrepreneurship

Entrepreneurship is an ancient activity that appeared 8,500 years ago. Since that time entrepreneurs have used unique knowledge, technology, hedonistic delights, and relationships with elites to change what populations desire and consider acceptable behavior. Their accumulation of wealth, status, and well-being has put entrepreneurs in constant tension with whomever controls a society. Understanding how entrepreneurs, sometimes as individuals, but mostly as groups, have impacted our history is a key to understanding when and how societies can count on them to help solve the problems that plague us all.

Instructor(s):Derek Balfour Lidow

If interested please contact:
Name: Victoria Dorman
E-mail: vdorman@princeton.edu
Phone: 6092588676

Position 1 Primary Duties:
helping professors with course materials, organizing student teams for projects and grading assignments

Number of AI Hours with Position: 3 AI hours

Background Required:

Engineering

EGR 395 — Venture Capital and Finance of Innovation

Venture capital is a driving force behind innovation and entrepreneurship, although the unique working details of venture capital firms and their processes are well-kept secrets. Early stage investors not only fund startups but also enable innovation through mentorship and partnership with the entrepreneurs. Understanding how these investors think and operate is critical to students who are interested in entrepreneurship, as well as to those who would like to pursue venture capital.

Instructor(s):Shahram Hejazi

If interested please contact:
Name: Victoria Dorman
E-mail: vdorman@princeton.edu
Phone: 6092588676

Position 1 Primary Duties:
helping professors with course materials, organizing student teams for projects and grading assignments

Number of AI Hours with Position: 3 AI hours

Background Required:

Engineering

EGR 488 — Designing Ventures To Change the World

This course looks at global challenges reflected in the UN's Sustainable Development Goals (SDGs), e.g., widespread poverty, disease, gender inequality, poor water, inadequate housing and illiteracy, through the lens of entrepreneurial ventures, exploring whether and how entrepreneurs can meaningfully address those issues in ways that complement governmental and charitable initiatives. First, we will consider the SDGs themselves, second, we will focus on one issue in particular: coffee business.

Instructor(s):John David Danner

If interested please contact:
Name: Victoria Dorman
E-mail: vdorman@princeton.edu
Phone: 6092588676

Position 1 Primary Duties:
helping professors with course materials, organizing student teams for projects and grading assignments

Number of AI Hours with Position: 3 AI hours

Background Required:

Engineering

EGR 250 — Community Project Studios: Non-credit

In Community Project Studios (formerly 'EPICS'), students earn academic credit for participation in multidisciplinary teams that work on projects over one or more years. The course mission is to provide a hands-on, experiential environment, in which students (often alongside community partners) bring real-world projects through to fruition. Although the methodology and projects vary for each studio, all teams in the program are supported through skill-development workshops, close-knit advising, and cultures of peer-to-peer collaboration. Students may participate for up to six semesters.

Instructor(s):Jay Burton Benziger; Dan Leyzberg; Michael G. Littman; Rafe Hanan Steinhauer

If interested please contact:
Name: Victoria Dorman
E-mail: vdorman@princeton.edu
Phone: 6092588676

Position 1 Primary Duties:
helping professors with course materials, organizing student teams for projects and grading assignments

Number of AI Hours with Position: 3-6 AI hours ( multible positions for different studios)

Background Required:

Mechanical and Aerospace Engineering

MAE 345 — Introduction to Robotics

Robotics is a rapidly-growing field with applications including unmanned aerial vehicles, autonomous cars, and robotic manipulators. This course will provide an introduction to the basic theoretical and algorithmic principles behind robotic systems. The course will also allow students to get hands-on experience through project-based assignments. Topics include inverse kinematics, motion planning, localization, mapping, vision, and reinforcement learning.

Instructor(s):Anirudha Majumdar

If interested please contact:
Name: Jill Ray
E-mail: jfray@princeton.edu
Phone: 258-4683

Position 1 Primary Duties:
AIs for MAE 345 will be responsible for helping run the hands-on component of the course, which involves students implementing algorithms on quadrotors. AIs will also hold office hours and grade problem sets.

Number of AI Hours with Position: 3.0

Background Required:
AIs will ideally have some experience working with robotic systems. A background in control theory, computer vision, or machine learning would be a good fit for the course. AIs are expected to have a strong grasp of basic linear algebra, probability, differential equations, and Python.

Mechanical and Aerospace Engineering

MAE 341 — Space Flight

This course addresses the various concepts that form the basis of modern space flight and astronautics. The focus is on space flight analysis and planning and not hardware or spacecraft design. The topics include space flight history, orbital mechanics, orbit perturbations, near-Earth and interplanetary mission analysis, orbit determination and satellite tracking, spacecraft maneuvers and attitude control, launch and entry dynamics. Use of advanced software for the planning and analysis of space missions.

Instructor(s):Edgar Yazid Choueiri

If interested please contact:
Name: Jill Ray
E-mail: jfray@princeton.edu
Phone: 258-4683

Position 1 Primary Duties:
Grade assignments and exams. Help students understand the material after class.

Number of AI Hours with Position: 3.0

Background Required:

Mechanical and Aerospace Engineering

MAE 321 — Engineering Design

This course introduces the technical foundations and basic processes of Mechanical Design, which are appropriate for the design of both mechanical systems, and components. The emphasis is on designing for the complete product life-cycle. Topics in parametric design and design optimization are also presented. Basic techniques in Computer Aided Design (CAD) and Manufacturing (CAM) are first introduced in the classroom, and then reinforced and expanded in the laboratory.

Instructor(s):Glenn Arther Northey

If interested please contact:
Name: Jill Ray
E-mail: jfray@princeton.edu
Phone: 258-4683

Position 1 Primary Duties:
Primarily responsible for supervising the undergraduate night sections, where the AI oversees the shop and oversees safe working practices.

Number of AI Hours with Position: 3.0

Background Required:

Religion

REL 252 — Jesus: How Christianity Began

Who was Jesus of Nazareth, and how do we know about him? Why did some interpretations of truth -- and his message -- win out over others? How have these particular ways of thinking influenced western culture, shaping our views of politics, race and ethnicity, sexuality and gender, civil and human rights even now? To answer questions like these, we'll investigate the earliest gospels, letters, Jewish and Roman sources, prison diaries and martyr accounts -- as well as how artists, filmmakers, musicians and theologians interpret them. Regardless of religious background, or none, you will learn a lot, and be able to contribute.

Instructor(s):Elaine Hiesey Pagels

If interested please contact:
Name: Kerry Smith
E-mail: kerrys@princeton.edu
Phone: 609-258-4482

Position 1 Primary Duties:
Leading discussions, attending course lectures MW 11:00 am - 11:50 am, being available for meetings with the instructor, holding office hours and assessing student papers.

Number of AI Hours with Position: To be determined.

Background Required:
Preferably experience teaching in an interdisciplinary setting.

Center for Statistics and Machine Learning

SML 201 — Introduction to Data Science

Introduction to Data Science provides a practical introduction to the burgeoning field of data science. The course introduces students to the essential tools for conducting data-driven research, including the fundamentals of programming techniques and the essentials of statistics. Students will work with real-world datasets from various domains; write computer code to manipulate, explore, and analyze data; use basic techniques from statistics and machine learning to analyze data; learn to draw conclusions using sound statistical reasoning; and produce scientific reports. No prior knowledge of programming or statistics is required.

Instructor(s):Daisy Yan Huang

If interested please contact:
Name: Daisy Huang
E-mail: daisyhuang@princeton.edu
Phone:

Position 1 Primary Duties:
The Center for Statistics and Machine Learning at Princeton University has openings for AIs to teach precepts for SML 201 in Fall 2019. This course covers approaches and techniques for obtaining, organizing, exploring, and analyzing data, as well as for creating data products. The material covered also includes predictive modelling, R programming for data science, and the basics of statistical inference (random variables, sampling, probability distributions, parameter estimation, hypothesis testing, and linear regression.) AIs are required to lead an 80-minute precept and to attend two course lectures (either Tu/Th 11-12:20 or Tu/Th 3-4:20) each week. Other duties may include: designing precept materials, writing up project and problem set solutions, grading, answering technical questions, weekly short meeting with the course instructor, and holding regular office hours. Instructor: Daisy Huang Appointment per precept: 3 hours

Number of AI Hours with Position:

Background Required:
Background in statistics; proficiency in R is an asset.

Sociology

SOC 207 — Poverty in America

This course investigates poverty in America in historical and contemporary perspective. We will explore central aspects of poverty, including low-wage work and joblessness, housing and neighborhoods, crime and punishment, and survival and protest. Along the way, we will examine the cause and consequences of poverty; study the lived experience of severe deprivation and material hardship; evaluate large-scale anti-poverty programs with an eye toward what worked and what didn't; and engage with normative debates about the right to housing, living wages, just punishment, and other matters pertaining to American life below the poverty line.

Instructor(s):Matthew Desmond

If interested please contact:
Name: Cindy Gibson
E-mail: cindy@princeton.edu
Phone: 609-258-4530

Position 1 Primary Duties:
Looking for 2-3 graduate students to help fill 8 hrs. of precepting. Attend two 50-minute lectures, MW 9:00-9:50am. Do the assigned readings. Set office hours to meet with students. Handle questions and grading for students in your precepts. Attend meetings with the instructor. Some administrative work is possible.

Number of AI Hours with Position: 8 hrs. among 2-3 studs.

Background Required:

Sociology

SOC 301 — Statistical Methods in Sociology

Most research in sociology is quantitative, and it is important for students to be able to critically evaluate published quantitative research. Ideally, students should also be able to conduct empirical research involving statistical methods. This course provides the foundation for both goals. The course focuses specifically on how to determine, apply, and interpret statistical methods appropriate for answering a sociological research question given a particular set of data. Basic probability theory is introduced as a building block of statistical reasoning, and a variety of commonly-used statistical methods are covered in the course.

Instructor(s):Tod G. Hamilton

If interested please contact:
Name: Cindy Gibson
E-mail: cindy@princeton.edu
Phone: 609-258-4530

Position 1 Primary Duties:
Looking for a graduate student to do 1-2 precepts in our stats. course that meets TTH 10:00-10:50am. Applicants must have received a minimum grade of A- in a graduate -level statistics or econometrics course. Preceptor also needs to be comfortable teaching/conducting precepts using Stata and R.

Number of AI Hours with Position: 1-2

Background Required:

Woodrow Wilson School of Public and International Affairs

WWS 403 — Policy Research Seminar

The junior policy research seminar serves to introduce departmental majors to the tools, methods, and interpretations employed in policy research and writing. Students may choose from a range of topics.

Instructor(s):Elizabeth Mitchell Armstrong; Carles Boix; Charles M. Cameron; Wendy Castillo; Lynda G. Dodd; Brittany Leigh Holom; John Benedict Londregan; Ashoka Mody; Timothy J. Nelson

If interested please contact:
Name: Jan Burch
E-mail: jburch@princeton.edu
Phone: 258-4817

Position 1 Primary Duties:
Qualitative Methods Lab Preceptor - Each semester WWS offers research laboratories that are associated with its research seminars for juniors. In the research seminar, organized around a different policy topic, the students write a junior independent research paper in which they apply research methods learned in their prerequisite courses and in the labs. The qualitative lab will focus on methods such as the use of documents, archives and public statements, case study research through process tracing and counterfactuals, comparative case studies, and mixed methods designs. The qualitative lab begins on Wednesday evening September 18, and meets almost every Wednesday evening for the remainder of the semester. The preceptor would be expected to attend each lab meeting, assist students as they work through their in-class assignments, hold office hours to both assist students with their take-home assignments and respond to methodological questions relevant to their research papers, and assist in grading the work of the course.

Number of AI Hours with Position: 2

Background Required:

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Position 2 Primary Duties:
Quantitative Methods Lab Preceptor - Each semester WWS offers research laboratories that are associated with its research seminars for juniors. In the research seminars, each organized around a different policy topic, the students write a junior independent research paper in which they apply research methods learned in their prerequisite courses and in the labs. The quantitative lab will focus on methods such as the use of exploratory data analysis, graphics, measurement issues, linear regressions and description and casual inference with regression models. The quantitative lab begins on Wednesday evening September 18, and meets almost every Wednesday evening for the remainder of the semester. The position provides two precept hours. The preceptor would be expected to attend each lab meeting, assist students as they work through their in-class assignments, hold office hours to both assist students with their take-home assignments and respond to methodological questions relevant to their research papers, and assist in grading the work of the course.

Number of AI Hours with Position: 2

Background Required: