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Jobs Posted on the Whova Community Board of ISBA 2022 World Meeting

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Open Rank Professor- Bayesian Statistician
University of Nebraska-Lincoln
The Department of Statistics at University of Nebraska-lincoln (UNL), Institute of Agriculture and Natural Resources (IANR) is seeking applications for Bayesian Statistician. This is a tenured or tenure-track open rank Professor position in the Department of statistics, Institute of Agriculture and Natural resources, University of Nebraska-lincoln, start August 2022. Submit 1) a letter of interest that describes your qualifications for the job, anticipated contributions, and the value you place on diversity and your anticipated contributions to creating inclusive environments in which every person and every interaction matters ( 2 page maximum; see for guidance in writing this statement); 2) your curriculum vitae;3) a teaching and research statement (1 page each as "Othet Document"); and 4) contact information for three professional references. See (requisition # F_220095) for complete application information and instructions. Application review begins 7/25/2022.

Recognizing that diversity within context of inclusivity enhances creativity, innovation, impact and a sense of belonging, the Institute of Agriculture and Natural resources (IANR) and Animal Sciences are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of human diversity. We actively encourage applications from and nominations of qualified individuals from underrepresented groups including racial and ethnic minorities, women, sexual minorities, persons living with disabilities, and veterans.
As an EE/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. see
Statistical Scientist
Berry Consultants
Berry Consultants, a growing consulting company in the design and implementation of innovative Bayesian adaptive clinical trials, is searching for a Statistical Scientist. The successful applicant will play a key role in the growth and success of Berry Consultants. Berry Consultants has a world-wide client base that includes pharmaceutical, biotech, medical device companies, as well as contract research organizations, non-profit patient advocacy groups, government organizations, and academic centers. Please see additional details at
Research Fellow
National University of Singapore
The Biomedical Data Science division in the Yong Loo Lin School of Medicine at the National University of Singapore (NUS) led by Prof. Maria De Iorio invites applications for multiple Research Fellow positions in Statistics. The division focuses on methodological and computational contributions in Statistics, in particular within the Bayesian framework. The group works in close contact with clinical and biomedical researchers across NUS and the Agency for Science, Technology and Research (A*STAR). Motivating applications arise from cohort studies such as GUSTO (Growing Up in Singapore Towards healthy Outcomes) and S-PRESTO (Singapore PREconception Study of Long-Term Maternal and Child Outcome), electronic medical records, and the NUS Human Potential Translational Research Programme. Appointments will be on a 2 or 3 year contract in the first instance, with the possibility of extension.

The applicant should:
- hold a PhD in Statistics or closely related field (essential)*
- possess a good knowledge of Bayesian inference and Bayesian computational tools such as MCMC and SMC (desirable)
- programming skills in R and one of C/C++ or equivalent
- experience of working in a research environment
*Exceptional candidates without a PhD can be considered for research assistantships and PhD studentships.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Informal enquiries and CVs can be sent to Dr. Willem van den Boom ( Only shortlisted candidates will be notified.
Research fellow
Humboldt-Universität zu Berlin
* The Emmy Noether research working group in Statistics and Data Science at Humboldt-Universität zu Berlin led by Prof. Dr. Nadja Klein invites applications for multiple Research Fellow positions in Statistics and Data Science. The division focuses on methodological and computational contributions in Statistical and Machine Learning, in particular within the Bayesian framework and for large-scale data and highly parameterized models. The vibrant international network includes established collaborations in Singapore and Australia. We have a strong interdisciplinary focus and work closely with several applied research groups including medicine, economics, ecology. Further collaborations have been established with other Berlin research units such as the Charite, Mercator Research Institute on Global Commons and Climate Change, several Helmholtz Centres and the industry.

* Qualifications the applicant should have:
- excellent PhD in Statistics or closely related field, such as Mathematics or Data Science
- good knowledge of Bayesian inference and Bayesian computational tools such as MCMC, variational inference, Bayesian neural networks, probabilistic modelling or Bayesian shrinkage and variable selection
- knowledge in at least one of following fields: spatial statistics, deep learning, causal inference, advanced regression, network analysis
- substantial experience in scientific programming with R, Matlab, Python, C/C++ or similar
- very good communication skills and team experience
- good mathematical skills desirable

* Exceptional candidates without PhD can be considered for PhD positions. Remuneration will be commensurate with the candidate’s qualifications and experience.

* Informal enquiries and applications (CV with list of publications, a motivational statement, copies of degrees/university transcripts, reference letters) can be sent to Prof. Dr. Nadja Klein ( Only shortlisted candidates will be notified.

Link: None
postdoc in computational statistics at Texas A&M University
Texas A&M University
The Texas A&M Department of Statistics is seeking a postdoctoral research associate to be funded by a newly awarded NASA grant. The position will primarily be supervised by Dr. Matthias Katzfuss, in collaboration with scientists at NASA/JPL. The research is related to the following areas:
- probabilistic machine learning using transport maps and Gaussian processes
- Bayesian non-Gaussian and nonparametric emulation and uncertainty quantification
- scalable geospatial analysis of massive climate-model output
- efficient software implementation using stochastic gradient descent and automatic differentiation

The position is designed as a career-building step for a junior scholar, with the development of a research program as a focus. The postdoc will be trained in conducting and presenting research, publishing papers, and creating software for wide dissemination of the research. Travel to conferences and research visits to NASA/JPL are expected.

- Highly competitive salary and benefits
- Start date: September 1, 2022 (or as soon as possible thereafter)
- Position is available pending official approval by the TAMU Vice President for Research
- Doctorate in Statistics, Computer Science, or related field required (at time of appointment)
- Initial appointment for one year, with extension to a second year subject to satisfactory performance

To apply, send an email containing the following material to
- Cover letter addressing expertise and interest in the research areas listed above
- Curriculum vitae
- Contact information for three references
Data Scientist
QuantCo, Inc.
QuantCo, a provider of algorithmic pricing, data-driven claims management, and high-dimensional forecasting solutions to some of the largest financial, healthcare, automotive, retail and e-commerce companies in Europe and in the US, is searching for Data Scientists.

Since our founding in 2016, we have created over a billion dollars in value for our clients and grown into a data science powerhouse with worldwide operations and over 120 employees. In a challenging economic environment, our clients rely on us more than ever to create value from data, and we continue to grow by turning profitable projects into scalable solutions.

Data Scientists at QuantCo create measurable impact from data. Key responsibilities include identifying the right framework to translate a business question into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.

Please see additional details at
Quantitative Research – Counterparty Credit Risk – XVA –Associate
J.P. Morgan Chase & Co
Full job specification is provided via link above which also should be used to apply. Feel free to message me if you want to learn more about the role.


We are looking for an analyst/associate level Quant to join our team in New York. The Credit Portfolio Group QR team’s mission is to develop and maintain best-in-class mathematical models, cutting-edge methodologies and infrastructure to support the XVA trading desk under the Credit Portfolio Group (CPG).

CPG is responsible for the valuation and risk management of XVAs, e.g. credit and funding valuation adjustments (CVA and FVA), which is the market price of counterparty credit risk and funding originating from derivatives. The QR team partners with trading and technology to develop the models and data analytics used for XVA pricing/risk-management for a cross-asset class portfolio. Our work combines classical quant finance with modern machine learning techniques. It includes:

Developing advanced pricing models and systematic hedging strategies for XVA;
Implementing these models in our quant library and trading/risk platforms, and supporting these models through their entire life-cycle.
Working closely with traders to solve problems and identify opportunities;

Qualifications attributes

Advanced degree (Masters, PhD or equivalent) in math, finance, or engineering
Strong understanding of statistics, optimization, time series, AI and machine learning or other data modelling methodologies
Self-motivated, willing to be part of a dynamic and competitive team
Strong communication skills – must be able to effectively engage with a diverse set of partners
Coding experience is a necessity (in Python or C++ a plus)
PhD Graduate Associateship: Animal Systems Modeling
The Ohio State University
POSITION AVAILABLE: Animal Systems Modeling

A PhD graduate research associateship (GRA) is available with Dr. Nora M. Bello at The Ohio State University. The successful candidate will be involved in the development and application of hierarchical Bayesian models for efficient and sustainable food production systems.

From a methodological standpoint, opportunities for novel and impactful developments relevant to systems modeling include causal inference, networks and graphical models, as well as hierarchical models, structural equations and dynamic modeling, amongst others. The successful candidate will have the opportunity to develop competency in the Bayesian framework of inference, as well as proficiency with big-data analytics and high-performance computing through the Ohio Supercomputer Center (

Areas of application are open to any agricultural livestock species with focus integrative of scientific domains. The candidate will have the opportunity to interact regularly with a vibrant interdisciplinary collaborative environment, working on cutting edge problems in the life sciences through the Translational Data Analytics Institute (

Qualifications: Applicants must have completed a BS/MS in biometry, statistics, biostatistics, breeding and genetics or related field by the start of the position. Ideally, the successful candidate will combine interests and background in both animal agriculture and quantitative
modeling. The successful candidate must be a highly motivated individual with a curious mind, strong work ethic and sharp organizational skills. The candidate must enjoy working individually and as a team in a dynamic and collaborative multi-disciplinary research environment.
Computational Demographer
University of Washington
The Center for Studies in Demography and Ecology (CSDE; seeks a Computational Demographer to join its Scientific Core. This position will have a joint role and complementary responsibilities within the UW eScience Institute.  CSDE is a population research center at the University of Washington funded by a P2C grant from the Population Dynamics Branch at the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), matching funds from the College of Arts and Sciences, the UW Provost’s Office, eScience Institute, other UW Schools and Colleges, as well as faculty affiliate grant proposals. CSDE is uniquely situated at the UW to foster cutting-edge population research, including our partnership with the Northwest Federal Statistical Research Data Center (NWFSRDC), the UW Data Collaborative, an active demographic graduate training program, and initiatives on campus linking and sharing administrative data and driving the formation of interdisciplinary teams together for scientific, evidence-based policymaking.
PHD position
University of Orléans
see the link below
Postdoctoral Research Fellow
Macquarie University
Data Scientist
JP Morgan
Data Scientist position at JP Morgan dealing with big financial data. Day to day activities involve exploratory data analysis, developing models and tools in python.

No formal job spec yet but if you’re interested please feel to contact me on email for further chat and information.
Link: None
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