The MAGPIE (MAthematics, Genomics and Prediction in Infection and Evolution) group at SFU is seeking applicants for dedicated MAGPIE Studentships, situated in the MSc and PhD programs in mathematics at SFU. We are establishing a cohort of graduate students who will work and learn together, gain state-of-the-art training in the methods and interdisciplinary research skills in the group, and develop their own research paths. Students will join a vibrant and diverse research group with interests in genomic epidemiology, mathematical models in evolution, phylodynamics, and infectious disease modelling.

Our research interests range from fundamental questions about how and why pathogens evolve the way they do to applied work in collaboration with public health institutions on topics like COVID-19 transmission and the analysis of viral and bacterial genomes. Our research inspires new mathematical methods and tools, and new ways to analyze and interpret genomic data. We use these new methods to generate insights into how pathogens evolve and spread, in addition to more fundamental research on evolution. 

Your Training and Your Future
Our graduate students will receive practical and theoretical training in infectious disease modelling, evolution, genomic epidemiology, and data science for infectious disease. They will have the opportunity to participate in a range of research projects and to work with our collaborating organizations in academia and public health, including the newly-formed Pacific Institute on Pathogens, Pandemics and Society ( 
They will be able to attend national and international conferences, workshops and hackathons, develop their own research programs and make connections outside academia.

MAGPIE Studentship recipients will receive competitive graduate funding, anticipated to be in the range of $35–$45K (CAD) annually, including a reduced teaching load, as well as expectations of substantial research contributions.

Applicants should have strong undergraduate backgrounds in mathematics or related subjects, experience with programming, interest in infectious disease and evolution, and a commitment to their own intellectual curiosity and how it can lead to an impact on our world.

For more information, please see the MAGPIE website at, and email

Apply to SFU Mathematics Graduate School
To apply, visit
Please mention the MAGPIE group and this cohort opportunity in your application. 

About Simon Fraser University
Simon Fraser University, based in Metro Vancouver, Canada, is consistently ranked as Canada’s top comprehensive university. Vancouver is often ranked as one of the world’s safest, most livable and walkable cities. People move to Vancouver for its scenic beauty and a healthy work/life balance. 

Application Deadline January 23, 2023

We’d like to share with you an upcoming opportunity at the NSF-Simons Center for Quantitative Biology (CQuB) at Northwestern University. 

Undergraduate Summer Research Program


We will host this program in person the Summer of 2023 from approximately June 19 through August 11, 2023. 

The Quantitative Biology Undergraduate Summer Research Program allows undergraduate students majoring in the life sciences and/or mathematical sciences to participate in hands-on laboratory and/or computational research that applies mathematical concepts and methodology to understanding mechanisms in biology.

Participants are encouraged to attend weekly workshops covering communication, presentation design, teamwork, and applying to graduate school; weekly lunches with faculty; day trips to a local museum or a national laboratory; and other cohort activities.

Participants in the program receive a taxable stipend of approximately $4,500. Travel, housing, and meals are not supported by this program. To be considered for this program, applicants must currently be freshmen, sophomores, or juniors with demonstrated interests in mathematics and/or biology.


Applications due February 1, 2023

NextGenPop (NGP) is an undergraduate program in population research that aims to increase the diversity of the population field and nurture the next generation of population scientists. Students from underrepresented groups are strongly encouraged to apply.

Population scientists study changes in the composition and structure of populations that shape inequalities in health and well-being. They work in a range of fields, doing demographic analyses for policy organizations and the public sector, and contributing to teaching and scholarship in academic settings.

NextGenPop offers undergraduates an on-campus research training experience over the summer, virtual workshops throughout the academic year, and opportunities for mentoring and networking with population scholars from across the country.

This summer 2023, 15 undergraduate students (“NGP Fellows”) will be hosted by Cornell University(in Ithaca, NY), June 4 through June 18. Fellows will receive a $1,000 stipend and all travel and living expenses. Classroom instruction and hands-on applications will address contemporary social and policy issues in population research related to race and income inequalities, health disparities, immigration, and family change.

Following the summer program, NGP Fellows will participate in monthly virtual workshops on research and professional development. In the spring of 2024, they will meet (expenses paid) with population scholars and reconnect with their NGP cohort at the annual meetings of the Population Association of America in Columbus, Ohio.

For additional information and to apply, visit:

Deadline for receipt of applications: February 1, 2023

We are now accepting applications for the 2023 Computational Biology Summer Program sponsored by an R25 grant from the NCI and the Tri-Institutional PhD Program in Computational Biology & Medicine and hosted in person in NYC at Memorial Sloan Kettering, Weill Cornell Medicine, and Rockefeller University.

This 10-week program will begin on June 5, 2023 and will end on August 11, 2023.

*The Tri-Institutional PhD Program in Computational Biology & Medicine is comprised of Memorial Sloan Kettering Cancer Center, Rockefeller University, and Weill Cornell Medicine.

The online application is available here
We invite current computer science and applied math freshmen, sophomores, and juniors interested in pursuing research at the interface of computer science and cancer biology for a 10-week immersive in-person summer research program.

We strongly encourage students from groups historically underrepresented in science (disadvantaged, disabled, Black, Hispanic/LatinX, Native American) to apply.

Please do not hesitate to contact our office if you have any questions at

Application deadline is March 3, 2023

San Diego State University is pleased to invite applications to its Summer 2023 Mathematics Research Experiences for Undergraduates.  The program dates this year will be June 11 — August 5.  Our project, with several sub-projects, will be in number theory (nonunique factorization).

The program will pay a stipend of $4000 and provide room and partial board for participants. 

For a detailed program description and application instructions/materials, please see the program website:

Application is now open! Application deadline is February 1st

The NYU Courant Institute of Mathematical Sciences is excited to announce the launch of our Second Pathways to AI Program for Summer 2023!  Pathways to AI is looking for motivated first years and sophomores who plan to major in computer science, or any other field in which AI plays a significant role, and who are interested in exploring research careers.  Our goal is to expand the field of scientists to include those who have been historically underrepresented.

This program will provide students with the basic skills needed to get involved in AI research. Over the course of six weeks, students will attend mini-courses in topics such as Python, data science, computational math, and Big Ideas in AI. Students will also participate in several research  lab rotations, which will provide them with an opportunity to learn about ongoing research projects directly from faculty, postdocs, and graduate students. 

Program Dates: June 26 – August 4, 2023

Stipend: $4,000 (plus $500 for travel expenses)

Accommodations: On-campus NYU Housing is included

Location: NYU’s campus in the heart of New York City’s Greenwich Village

Click here to access the Application

In addition to classes and spending the summer in NYC, participants will meet their peers, learn from world-renowned NYU faculty, and attend panels and workshops with guest speakers and NYU graduate students. 

Pathways to AI is open to all students and especially encourages applications from individuals who come from diverse backgrounds and whose academic and research experience contribute significantly to the diversity and academic excellence at NYU.

Please feel free to reach out to if you have any questions about the program.

Apply for the Bruin Development Academy in Banking and Finance!

Interested in an internship/career in investment banking or finance? The Bruin Development Academy (BDA) for Banking and Finance, sponsored by the UCLA Sharpe Fellows Program, is designed for students interested in exploring and pursuing careers in finance! BDA participants will engage in a three-week program with one session each week. This program will introduce participants to the world of finance, provide a roadmap for pursuing summer internships, and will teach valuable communication and technical skills needed to succeed in this profession. Participants will have the opportunity to build a professional network of like-minded peers also interested in finance, and to connect with several UCLA alumni that currently work in finance.  

PROGRAM OVERVIEW   All sessions will take place from 6:00 to 8:00 p.m. (PST). If selected, participants are expected to attend all program sessions. If you are interested in the program, please avoid scheduling classes during these times:   Thursday, Jan. 12 Thursday, Jan. 19 Thursday, Jan. 26  

To learn more about the Bruin Development Academy, please visit our website.    

APPLICATION INFORMATION   This program is designed for freshman, sophomore and first-year transfer students, although anyone who is curious about pursuing a career in business is welcome to apply.   Apply Here!  

Deadline: Wednesday, Jan. 4, at 11:59 p.m. (PST)

Deadlines: Jan 6, 2023 & Mar 1, 2023

The EPSRC Centre for Doctoral Training in Mathematics of Random Systems: Analysis, Modelling and Algorithms is a partnership between three world-class departments in the area of probabilistic modelling, stochastic analysis and their applications, the Oxford Mathematical Institute, the Oxford Department of Statistics and the Department of Mathematics, Imperial College London, with the ambition of training the next generation of academic and industry experts in stochastic modelling, advanced computational methods and Data Science.

Students should participate if they are interested in a PhD in Mathematics of Random Systems. Applications are now open (CLICK HERE) for fully funded studentships on our doctoral training programme.

The CDT offers a fully funded 4-year comprehensive training programme at the frontier of scientific research in Probability, Stochastic Analysis, Stochastic Modelling, stochastic computational methods and applications in physics, finance, biology, healthcare and data science.

Students receive solid training in core skills related to probability theory, stochastic modelling, data analysis, stochastic simulation, optimal control and probabilistic algorithms. In the first year, students follow four Core courses on Foundation areas as well as three elective courses, and undertake a supervised research project, which then evolves into a PhD thesis.

The Centre for Doctoral Training (CDT) will be present at the Oxford Mathematical Institute Postgraduate Open Day in person and virtually which will be held on Nov 23, 2022.

More information: or email

Contact for More Info

Dr. Melanie Witt (she/her)

Mathematics Institute, University of Oxford

Administrator for EPSRC CDT in Mathematics of Random Systems

Deadline: Jan 4, 2023

The Duke University Master’s and Ph.D. of Statistical Science programs are actively recruiting students for Fall 2023 enrollment. Statistical Science

Our Ph.D. program is the world’s leading graduate research and educational environment for Bayesian statistics. Students are immersed in a broad range of concepts and research experiences, including big data analytics, machine learning, and computational statistics. Rigorous coursework and research opportunities prepare our Ph.D. students for successful careers in diverse fields, from academia to government research to private industry.

Master’s in Statistical Science

  • 2-year in-person program (has an option to finish in 1.5 years)
  • Small class sizes
  • Advanced theoretical knowledge through the courses taught by world-class teachers
  • Hands-on experience in statistics and machine learning through courses, capstone projects, and other university-wide collaborations
  • Research opportunities with world-recognized researchers and faculty members
  • Flexibility to tailor the curriculum to student interests through internal and external elective courses
  • In-house professional development resources, including one-on-one resume development with career coaches, information sessions with industry recruiters, and networking events with alumni
  • Generous financial aid packages for strong candidates and students from historically underrepresented groups

APPLY NOW. The application deadline for Ph.D. and Master’s programs is January 4, 2023.