There is a vacancy for a PhD Research Fellow in Applied and Computational Mathematics at the Department of Mathematics. The position is for a fixed-term period of 4 years. The position is funded by the University of Bergen.

We are looking for research assistants with a quantitative background for ongoing research in Public Health. They will be working within the team under the Principal Investigators Associate Professor Alex R Cook and/or Assistant Professor Borame Dickens. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

Candidates need to be able to understand statistical modelling, have a strong mathematical background, and be fluent in R programming or Python coding. The candidate will be working with the Principal Investigator(s) on the analysis of big health data, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary.

The proposed project extensively involves mathematical modelling, computer programming, and numerical simulation. It requires researchers to have strong background in mathematics and computational physics. The candidate must have experiences in machine learning and quantum computing.

In this project-based research degree, you will develop sophisticated mathematical models and computational techniques for biofilm growth using a combination of mathematical analysis and computer programming. You may also get the opportunity to collaborate with experimental biologists, for example, in designing new experiments and analysing experimental data.

We are seeking a Postdoctoral Appointee with expertise and interest in large-scale atmospheric dynamics and variability to improve attribution of downstream climate impacts from localized sources such as volcanoes or large wildfires. As a climate scientist in Sandia’s Climate Systems department, you will be part of an interdisciplinary team to discover, understand, and communicate how climate hazards arising from coupled interactions within the climate system, and exposure to those hazards, contribute to climate-induced risks in society.

The current challenges that confront the statistical data sciences deal with the need to efficiently process massive data, build powerful statistical models and develop efficient computational tools. There are opportunities to develop impactful research that can address substantive inferential and forecasting problems on a wide array of complex processes including biological, social, physical, epidemiological, climatological, and environmental.

The School of Mathematical and Computational Sciences at the University of Prince Edward Island invites applications for a tenure-track position in the field of Computer Science at the rank of Assistant Professor. We welcome outstanding candidates from all areas of computer science and especially encourage applications from underrepresented groups in mathematics and computing fields.

Riverside Research’s Applied Mathematics and Physics Solutions group is seeking a computational scientist to support development of high-impact computational electromagnetics (CEM) codes. The candidate will research and develop new techniques that advance the state-of-the-art in defense industry CEM tools.

We are looking for an Intern - Computational Science for Predictive Simulations, R&D Grad Year Round We are looking for motivated interns in the general area of enabling predictive simulations. Possible intern projects range from statistical analysis and machine learning, to workflow development, uncertainty quantification, or algorithm performance testing. All projects take place in an interdisciplinary research environment.

Join the Institute for Research in Technology (IIT) and work on the EU H2020 project RAYUELA, which identifies risk factors associated with cybercrimes relevant to minors. As a postdoc researcher, you will analyze data gathered through a serious game developed within the project's scope.

Applications are invited for appointment as Tenure-Track Associate Professor/Assistant Professor in the Department of Mathematics (Ref.:519582), to commence as soon as possible on a three-year fixed-term basis with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Direct tenure may be offered to outstanding Associate Professor candidates.

The Scalable Solvers Group (SSG) in the Applied Mathematics and Computational Research Division (CRD) at the Lawrence Berkeley National Laboratory (LBNL) has a Computational Mathematics Postdoctoral Scholar opening in the area of numerical methods for quantum many-body problems.

We are seeking a highly skilled Computational Geometry expert with experience in developing algorithms for advanced manufacturing. A successful candidate will be responsible for designing and implementing novel computational geometry algorithms to optimize 3D fabrication processes and improve the accuracy, speed, and geometric feature-set of Alloy’s process.

You will serve as a Senior Teaching Associate in Mathematics Computational Practical (MathComP), taught within the Natural Sciences Tripos, and as the Assistant Director of Computer Aided Teaching of All Mathematics (CATAM), taught within the Mathematics Tripos.

Let’s do this. Let’s change the world. During this program, you will develop machine learning-based tools for efficient conformational sampling of both small molecules and protein-ligand complexes. You will also have the opportunity to apply the tools you develop to drive drug discovery projects, by providing fast and accurate estimates of protein-ligand binding free energies.

The postdoctoral candidate must be interested in the fields of computational biology, applied mathematics, and interdisciplinary scholarship across bioengineering and statistics. The appointment is initially for one year but is renewable for one additional year contingent upon funding and performance.

Come join the brightest minds at the most innovative R&D facility supporting our national security! The Computer, Computational and Statistical Sciences (CCS) Division is seeking graduate students looking for a challenging internship. As a CCS graduate student, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues.

Areas of interest include computational mathematics, financial mathematics and statistics, but other areas will be considered. The successful candidate must be able to teach our core mathematics curriculum. Candidates should be dedicated to excellent teaching in a liberal arts environment where undergraduate research is encouraged.

Experience in some of the following areas is meritorious: stochastic analysis, numerical analysis, differential geometry, computational methods for stochastic (partial) differential equations, random fields, programming, mathematical statistics.