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Jobs Posted on the Whova Community Board of NetSci 2022

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Post-doctoral Fellow in Complex Networks/Urban Science
University of Hong Kong
The appointee will be working under the supervision of Dr. Alec Kirkley, an Assistant Professor jointly appointed in the Institute of Data Science and Department of Urban Planning and Design at the University of Hong Kong. Specific research projects are open for discussion.
Link: https://datascience.hku.hk/careers-at-ids/
PhD student in Complex Networks/Urban Science
University of Hong Kong
The appointee will be working under the supervision of Dr. Alec Kirkley, an Assistant Professor jointly appointed in the Institute of Data Science and Department of Urban Planning and Design at the University of Hong Kong. Specific research projects are open for discussion.
Link: https://aleckirkley.com/
Postdoc
The Catholic University of Korea
Postdoc position for temporal networks, bursty time series analysis, etc.
Link: https://sites.google.com/site/h2jo23/job-opening
Postdoc in Network Science @CoMuNe Lab
University of Padua
A postdoctoral fellowship is available, to work on the robustness of complex (multilayer) networks from statistical physics and data-driven perspectives. The project is “Beyond network structure: probing dynamics' robustness of complex interconnected systems to functional shocks”
The ideal candidate has a PhD in Physics or similar discipline, experience with complex networks, experience with theoretical and computational modeling. Experience with percolation theory and/or multilayer network modeling is an important plus.

Deadline: 15 July 2022
Link: https://manliodedomenico.com/collaborate.php
Postdoc in Mathematics of Networks at Dartmouth College
Dartmouth College
Because of recent-obtained funding, I (Peter Mucha) have a postdoc position available to start ASAP in the Department of Mathematics at Dartmouth College, to work on one or more interrelated collaborative projects: (1) multilayer and multiscale models to integrate neuronal, behavioral, and social networks; (2) models for disease transmission across multimodal networks, with focus on the human-animal nexus; (3) network-based analysis of metabolomics data; and (4) development of improved software infrastructure for network analysis in R.

Interested candidates should contact Prof. Peter Mucha (Peter.J.Mucha@dartmouth.edu) as soon as possible.

Applicants must hold (or expect to hold by the start date) a Ph.D. in Mathematics, Applied Mathematics, Physics, Sociology, Statistics, Computer Science, Physics, or a related field. The postdoc could have the opportunity to teach one or two ten-week courses per year, contingent on department availability and postdoc interest.

Dartmouth College is a member of the Ivy League and the Association of American Universities (AAU). The department (http://www.math.dartmouth.edu) is home to 22 tenured and tenure-track faculty members, as well as visiting faculty and postdoctoral fellows. The Department of Mathematics is in the School of Arts and Sciences and has a strong Ph.D. program and outstanding undergraduate majors.

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.
Link: http://mucha.host.dartmouth.edu/
Postdoctoral Fellow, Northwestern University, USA
Northwestern University
The research group of Professor Ágnes Horvát is seeking qualified candidates for a postdoctoral fellow position with a focus on pursuing research in the areas of Network Science, Computational Social Science, Science of Science, or Data Science at Northwestern University. The new
position will be housed in the Lab on Innovation, Networks, and Knowledge (LINK) at the School of Communication. For recent papers and projects see https://link.soc.northwestern.edu/. The initial term of the position is one year with the possibility of renewal. Compensation is
competitive. Applications should be sent to a-horvat@northwestern.edu and will be reviewed until the position is filled.
Qualification:
Candidates should demonstrate a strong interest and prior record in conducting computational research. They will be expected to contribute to the lab’s ongoing NSF-funded projects (e.g., IIS-1943506, IIS-2133963), engaging in national and international collaborations. Candidates should demonstrate relevant training and skills including:
• Ph.D. in fields including network science, computational social science, computer science, information science, complex systems, computational communication, applied mathematics, physics, economics, or other related fields;
• Prior experience in programming and working with large datasets;
• Ability to conduct computational modelling and analysis;
• Excellent writing and communication skills;
• Participation and activity in the scientific community;
• Ability and desire to work in a highly collaborative and interdisciplinary environment.
Link: https://media.soc.northwestern.edu/socwp-aws-www/sites/5/2022/07/05130958/PostdocOpening-Horvat.pdf
Postdoc Position in Network Dynamics
University of California, Davis
To contribute to NSF-funded project evaluating how perturbations propagate through plant-pollinator networks at different timescales. The postdoc will develop and analyze mathematical models of system dynamics, characterize interaction functional forms, and develop inference on plant-pollinator networks using data on species traits, pollinator visitation, and plant seed production. The overarching goal is to use data-theory integration to evaluate how short-term responses (hours to days; e.g., foraging behavior of pollinators, dynamics of floral rewards) affect medium-term responses (months to years; e.g., seed set, plant and pollinator recruitment) and how these, in turn, affect long-term network dynamics (decades to centuries; e.g., species persistence, extinctions).
Applicants should hold a PhD in physics, applied math, theoretical ecology, or similar field. Previous experience should include the analysis of large datasets and analytical or numerical methods in mathematical modeling, including the use of machine learning and Bayesian methods.
Applicants should be fluent in Python or R, and ideally have experience programming in other languages, such as Matlab or Mathematica. The researcher will be expected to prepare results for peer-reviewed journals, mentor students in the Valdovinos Lab, give conference talks, and contribute to a 3-days grant-funded educational workshop.
Initial appointment will be for 1 year, with the possibility to extend to 3 years depending on performance. The start date is flexible and the position is available immediately.
To apply, send to Prof. Fernanda Valdovinos (fvaldovinos@ucdavis.edu) the following materials: a cover letter (which includes a brief summary of research experience and interests), a CV (with publication list), and names and contact information for three references. Applications should be submitted as one complete attachment. Review of applications will begin immediately and will continue until the position is filled.
Link: https://www.fsvaldovinos.com/post/postdoc-position-in-network-dynamics
Postdoctoral researcher at SUNY Buffalo
State University of New York at Buffalo
I am looking for a postdoc researcher with an initial appointment of 1.5 years, which may be extendable to November 2025. The work location is the State University of New York at Buffalo, Buffalo, NY, USA. The PI is Naoki Masuda

www.naokimasuda.net
https://scholar.google.com/citations?user=fZDoOnMAAAAJ

and the postdoc will be housed in the Department of Mathematics, which I belong to.
The project is on the "energy landscape analysis" of neuroimaging (particularly functional MRI, also perhaps MEG) data.
We have been developing and applying this analysis tool for neuroimaging data
(some of our publications are:
https://www.nature.com/articles/ncomms2388
https://www.nature.com/articles/ncomms5765
https://royalsocietypublishing.org/doi/10.1098/rsta.2016.0287
https://www.nature.com/articles/s42003-020-0774-y
). With this project, we will further deploy and develop (depending on the candidate's expertise) these methods to various data in health and disease contexts. The original method is founded on the Ising model and somewhat related to networks. Our plan is to not to stick to the Ising model and try to incorporate other techniques including temporal network methods, which is my expertise.

Experience in data analysis (including PhD in a related field such as network science, (computational) brain/neuro- science, medicine, biology, computer science, applied mathematics, physics) and good communication skills are indispensable. However, expertise in fMRI data analysis, neuroscience, statistical physics underlying the energy landscape analysis (undergraduate level or higher statistical physics knowledge), and/or applied mathematics is not mandatory, while it is certainly a plus.

If you are interested or have any queries, please send your CV to Naoki Masuda at naokimas@gmail.com. I prefer the job start date to be asap but am flexible.
Link: http://www.naokimasuda.net
Candidate for international fellowship
Cancer Research Center of Toulouse
The 'Network Biology for Immuno-Oncology' team is interested in networks of genes, chromatin structure, cells and patients. We have access to state-of-the-art omics technology and patient samples. Get in touch if interested in applying for a fellowship!
Link: https://www.crct-inserm.fr/en/netbio2_en/
Postdoctoral Fellow in Computational Biology
Chinese Academy of Sciences
An opportunity has arisen to join the Computational Systems Epigenomics Lab, headed by Prof Andrew Teschendorff, at the CAS Key Lab of Computational Biology in Shanghai. The Computational Systems Epigenomics Lab carries out computational research at the interface between Epigenomics, Aging and Cancer, with a special focus on Single-Cell Omic and DNA methylation data analysis. We are interested in using computational and mathematical methods, often drawn from signal processing and network science fields, to elucidate systems-biological principles underlying aging and cancer, and specifically, to better understand the role of epigenetics and DNA methylation changes in cancer formation. In line with P4 Medicine we are also keen on using epigenetic clock and single-cell methods to develop practical cancer risk prediction tools. For recent publications, see https://aeteschendorff-lab.github.io.
The job entails performing basic research, to help with writing papers, and to help supervise MSc and PhD students. This is an excellent opportunity for a recent PhD graduate to develop and grow their academic career in Computational Biology.

Link: https://aeteschendorff-lab.github.io
post docs
Korea Institute of Energy Technology
stability analysis of networks using machine learning
Post-doc in Complex Network Intelligence
Tsinghua University
The Center for Complex Network Intelligence (CCNI), directed by Prof. Carlo Vittorio Cannistraci (https://brain.tsinghua.edu.cn/en/info/1010/1003.htm) in the Tsinghua Laboratory of Brain and Intelligence (THBI) of Tsinghua University, is seeking exceptional candidates for postdoctoral fellow positions. The postdocs, in cooperation with other members of the CCNI, will contribute to research, and to develop pioneering algorithms at the interface between information science, physics of complex systems, complex networks and machine intelligence, with a particular focus on brain/life-inspired computing for big data analysis. The objective of the research is twofold: 1) investigation of theoretical topics to design next-generation artificial intelligence algorithms; 2) analysis of applied topics, in which the computational tools that have been designed are applied to different scientific domains, such as neuroscience, computational biomedicine, and socio-economic data science.
Link: https://brain.tsinghua.edu.cn/en/info/1023/1078.htm
Postdoctoral Fellows in Complex Systems
Tongji University
Two Postdoctoral Fellow positions are available in Prof. Gang Yan’s group at Tongji University, Shanghai. The positions are jointly supported by School of Physical Science and Engineering, and National Key Lab of Autonomous Intelligent Systems.

We are looking for sincere and motivated individuals with scientific curiosity to study complex systems (generally defined). Experience in AI for Science, Data-driven Research on Brain Networks, or Natural/Artificial Swarm Systems would be a plus.

The salary is competitive.

Link: None
Postdoctoral Scholar in Computational modeling of brain networks and mental illness risk
University of Calgary
The Department of Radiology in the Cumming School of Medicine and the Departments of Computer Science and of Physics and Astronomy in the Faculty of Science at the University of Calgary are accepting applications for a Postdoctoral Scholar in Computational modeling of brain networks and mental illness risk.

The postdoc will work with Drs. Emma Towlson and Signe Bray on modeling brain networks in the context of mental illness risk. The project will involve working with neuroimaging data to build whole-brain simulations and examine network characteristics. Depending on interest, the postdoc may play a role in study design and data collection, though the primary focus is modeling and data analysis. This is a 2-year position with the possibility of extension.

This postdoctoral project aligns with the University of Calgary priorities in Brain and Mental Health and Child Health and Wellness. Drs. Bray and Towlson are members of the Hotchkiss Brain Institute (HBI) and Alberta Children’s Hospital Research Institute (ACHRI), which offer high quality professional development opportunities (e.g., HBI-REALISE; https://hbi.ucalgary.ca/education/realise).

Applicants must be nearing completion of a PhD or have completed a PhD in the last three years and should have interest in computational approaches to brain and mental health and have a background in network neuroscience, psychology, neurosciences, physics, biomedical engineering, or a related discipline. Experience with neuroimaging and strong data analytic skills are required. It is highly desirable that applicants have experience conducting research in an interdisciplinary environment. We will provide training for the successful applicant in areas outside of their home discipline that are relevant to the project.

Our labs and the University of Calgary are committed to equity, diversity and inclusion (EDI; https://www.ucalgary.ca/equity-diversity-inclusion) and we encourage applicants from diverse backgrounds to apply.
Open Rank: Research Professor (Assistant/Associate/Full)
Northeastern University
Northeastern University is pleased to announce multiple research faculty positions in network science offered jointly by the Network Science Institute (NetSI) and Roux Institute. The positions are open rank, non-tenure-track research faculty positions located in the Roux, in Portland, Maine. All topic areas within network and computational sciences will be considered, but candidates with experience in the applied fields of computational epidemiology, digital health, population and personalized health, and life sciences are encouraged to apply.

The research faculty will be responsible for building an independent research program, aligned with the Roux and Network Science Institutes. Research may include studies of infectious disease forecasting, medical outcomes, coordination of medical care, digital health, mobility patterns, disease and social networks.

The successful candidate will be appointed as a research faculty member in one or more of Northeastern’s Colleges and Departments, aligned with their background and expertise. They will report to their disciplinary department chair in their role as a faculty member, but their primary supervisory relationships and commitments will be within Roux and NetSI’s research programs.
Link: https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Portland-ME/Open-Rank--Research-Professor--Assistant-Associate-Full-_R104435
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