Application OPEN. Deadline to apply is February 7, 2018

Pre-candidacy students are encouraged to apply to this program. Travel and lodging grants are provided by the consortium for all admitted participants.

A Folger Orientation to Research Methods and Agendas

GRADUATE STUDENTS & BEYOND
Complex Systems Summer School (CSSS)

June 10 – July 6, 2018
Applications Accepted: Now through January 29, 2018

The SFI Complex Systems Summer School (CSSS) offers an intensive 4-week introduction to complex behavior in mathematical, physical, living, and social systems. Lectures are taught by the faculty of the Santa Fe Institute (SFI). The school is for students and professionals seeking to transcend traditional disciplinary boundaries and ask big questions about real-world complex systems.

The program consists of an intensive series of lectures, labs, and discussion sessions focusing on foundational concepts, tools, and current topics in complexity science. Participants collaborate in developing novel research projects throughout the 4 weeks of the program that culminate in final presentations and papers.

Graduate students, postdoctoral fellows, and professionals are eligible to apply. Women and members of underrepresented groups are encouraged to apply.

More Information and to Apply: santafe.edu/CSSS

GRADUATE STUDENTS
Graduate Workshop in Computational Social Science (GWCSS) 

June 17 – June 29, 2018
Applications Accepted: Now through February 13, 2018

The workshop brings together a group of advanced graduate students and a small faculty for an intensive two-week study of computational social science. The workshop will consist of lectures by faculty, seminars by members of the Santa Fe Institute, and presentations of work in progress by graduate student participants.

The primary goal of the summer workshop is to assist graduate students pursuing research agendas which include a computational modeling component. A significant portion of the workshop will be devoted to analyzing and improving research being conducted by the graduate student participants.

Current graduate students are eligible to apply. Women and members of underrepresented groups are encouraged to apply.

More Information and to Apply: santafe.edu/GWCSS

APPLY here-
https://troweprice.wd5.myworkdayjobs.com/TRowePrice/job/Baltimore-MD/PhD-Intern_31615
Our mission as a leading investment management firm is to help our clients achieve their long-term financial goals. We believe our associates are the key to this mission and we are always looking for talented individuals who share our commitment to our client’s success.

If you’re looking for challenging work experiences and the ability to learn in a collaborative culture, we invite you to explore the opportunities available at T. Rowe Price.

PRIMARY PURPOSE OF THE POSITION
The summer intern will support the Multi-Asset Research Team by conducting financial and quantitative/statistical analysis usually at the asset class level, covering the areas of strategic and tactical asset allocation, financial planning research, data/infrastructure, and product design projects as needed.

PRINCIPAL RESPONSIBILITIES
Independently, or in collaboration with other quantitative or technical analysts, under the guidance of the Director of Research, execute research projects that have been identified to meet the investment needs of the broader Multi-Asset Division:
Identify the core issue and shape/design the project
Identify and absorb existing research on the subject (internal or external)
Identify (and procure) the most appropriate method/tool/dataset to address the issue

Execute operational duties, such as ongoing generation and maintenance of asset allocation related investment reports, data sets, or analytical infrastructure.

Perform data analysis and information gathering in response to ad hoc inquiries.

QUALIFICATIONS
Required
Must be a Ph.D. candidate expected to graduate in May ’19 majoring in a quantitative discipline
Strong academic credentials and evidence of ability to independently deliver results
Experience programming in Matlab, Splus/R, Python, and SQL
Experience conducting empirical research working with large datasets
Strong analytical and problem-solving skills; willingness to learn new approaches to problem-solving
Ability to work independently as well as a part of a team
Excellent oral and written communication skills
Ability to multi-task and to simultaneously push forward several projects

Preferred
Interest in financial markets
Knowledge of investments, portfolios, and quantitative analysis