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About the Opportunity SUMMARY The Network Science Institute (NetSI) is hiring one Postdoctoral Research Associate to join the newly formed Complexity & Society Lab (the “&-Lab”). The &-Lab is an interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they relate to public health and public safety. The &-Lab is expanding as we embark on a new grant-funded research initiative, where we aim to document, analyze, and visualize inequalities across court systems themselves in the United States. A primary goal of this work will be to build interactive data tools that inform the public, policy-makers, and researchers about the impact of municipal court policy and procedures. This project will take place alongside ongoing research at the intersection of complex systems and data science. Research in the &-Lab is interdisciplinary and highly collaborative, and we work closely with scholars in the humanities, historians, ethicists, legal scholars, and policy advocates. Within NetSI, our team collaborates with multiple research groups working on questions of public health, human mobility, AI, and network theory. While the selected candidate will primarily be expected to contribute to work on the criminal legal system, they would also be joining a highly collaborative institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026 (approximately 2-year position). RESPONSIBILITIES Assist in initiating, executing, and completing studies related to our grant on the criminal legal system, which includes preparing and writing research articles, presentations, and other related research activities. Actively participate in the community by organizing and attending talks, workshops, and conferences, and by engaging with the broader NetSI community. Foster a safe, inclusive, welcoming, and collaborative environment. Where relevant, participate in activities related to career development (e.g. mentorship of students, grant writing, etc.). QUALIFICATIONS The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full time, and work under the supervision of a senior scholar. The &-Lab is composed of researchers with backgrounds in network/data science and complex systems; however, this shouldn’t be seen as an indication of our preferences around the discipline or background of a successful candidate. The hiring process for this role is ongoing. Application review will begin immediately, and candidates will be interviewed on a rolling basis until the position is filled. If you are interested, please submit the following materials with your application: 1) A cover letter detailing your research interests and fit for the position. 2) CV with a list of publications. 3) Names and contact details for 2 references. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity. Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact. Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.
If you've missed out on Leto Peel's and @lordgrilo 's talks at the Warm-Up 🔥 -- or want to revisit your treasured memories from the event -- you can now watch them on our YouTube! 👇👇👇
https://www.youtube.com/playlist?list=PL2NiuOynAtBvKLsw06PX3FyDszDox3Wb6
⌛️ The deadline to apply to our grants is this Friday! If you need support to attend an event or to visit another young researcher, you should definitely consider applying 👇👇👇
🚨Job alert!🚨
Come join us at the Inverse Complexity Lab! @invcomplexity
We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.
https://skewed.de/lab/call.html
Deadline is 30 Nov 2024.
We are looking for an early-stage or more advanced postdoctoral scholar who is interested in building on our ongoing projects, or developing their own research agenda related to inverse problems in network science, complex systems modeling, and/or connections to machine learning.
This position is not bound to a particular research project, and the successful applicant will enjoy intellectual independence and freedom to choose research topics.
We’re seeking applicants with a background in Physics, Computer Science, Statistics, Applied Mathematics, or related fields, and with an interest in interdisciplinary research.
This position is guaranteed for 3 years. The gross salary range is € 66,532 to € 72,000 (indexed for inflation), depending on previous experience.
The employment conditions in Austria include completely free health care (also for family members), social security benefits, 25 days per year of paid vacations, flexible working hours, and possibility of home office.
In addition, IT:U will provide a KlimaTicket—a unified transport pass which gives free access to the entire transportation system in Austria, including trains and local public transport.
IT:U is a brand new public university in Austria, which began operations with its first cohort of professors in 2024, and is devoted to interdisciplinary research. It is co-located with the Johannes Kepler Universität in Linz, at the Science Park campus.
Linz is the third largest city in Austria with a population of 200k, centrally located only 1h15m away from Vienna by train, and short connections to Germany, Italy, and other neighboring countries.
For more information, see the call at https://skewed.de/lab/call.html
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Tiago Peixoto