diff --git a/jobs/index.md b/jobs/index.md index 0ecb8092..901cdd72 100644 --- a/jobs/index.md +++ b/jobs/index.md @@ -70,9 +70,11 @@ you should probably apply to EDMA, whereas if the project will be more on the side of physical models / materials applications, you should apply to EDMX. -## Specific openings + - -#### Project goals +#### Project details +Within this project we will explore the opportunities +of gradient-based Bayesian optimisation +to accelerate inverse materials design. +In particular we will rely on the AD capabilities of DFTK +to integrate with recent advances with first-order +Bayesian optimisation procedures (e.g. [^1]). +Your work will be integrated with similar +efforts in our group, e.g. to develop +multi-task Gaussian Process surrogates[^2] +for materials modelling or to exploit analytical error +estimates within statistical surrogates. +Within ongoing collaborations with other materials simulation +groups at EPFL your advances can be directly developed +and tested within the scope of practical materials modelling problems. + #### Candidate profile * You are motivated to tackle a challenging interdisciplinary research topic - and to substantially push the state of uncertainty quantification methods - for density-functional theory. -* You obtained your PhD in mathematics, statistics or a related subject. -* You have a strong background in Bayesian statistics - and worked on uncertainty quantification for physics or engineering simulations. + and push the state of Bayesian Optimisation methods + for inverse materials design. +* You obtained your PhD in statistics, computational mathematics or a related subject. * You have an excellent academic track record and demonstrated prior research experience - working with Bayesian regression, multi-fidelity or multi-tasking methods + in Bayesian optimisation, experimental design or inverse problems + with an application in physics or engineering simulations. + * You enjoy collaborating with researchers from a diverse background - and you look forward to acquiring the broad skillset required + and look forward to acquiring the broad skillset required for cross-disciplinary research in materials modelling. + +* You are experienced in working with larger scientific codes in a collaborative + software development environment. You have a solid experience with + the Julia programming language or you are fluent in a related language (Python, Matlab) + and are curious to code in Julia. * You are fluent in written and oral English. * You enjoy occasionally supervising undergraduate students on topics related to your research. * Bonus skills for this application are considerable experience in - quantum-chemical or materials simulations, numerical linear algebra, - high-performance computing or Julia programming. + quantum-chemical or materials simulations or + high-performance computing. #### What is offered The activities of the MatMat group revolve around understanding modern materials simulations from a mathematical point of view --- and to come up with ways to make such simulations faster, -quantify their errors or make them more reliable. +-- and to come up with ways to make such simulations faster and quantify their errors. You will become part of a young and energetic team, fully integrated with both the mathematics and the materials institutes as well as multiple cross-disciplinary initiatives, such as the [NCCR MARVEL](https://nccr-marvel.ch/). Within the proposed topic you will be able to bring in your prior expertise, -explore your ideas and grow substantially your background -in both the theory and practice of materials modelling. -For this you have access to a stimulating community of researchers -at EPFL's main campus beautifully located at the lake Geneva shore. -For disseminating your work funds to attend suitable conferences -and workshops as well as potential visits to our collaboration partners -all over the world are provided. +but also be able to get to know the exciting theory and practice of material modelling. +EPFL's main campus is beautifully located at the lake Geneva shore +hosting a stimulating community of interdisciplinary-minded researchers. +Funds to disseminate your work at suitable conferences +as well as potential visits to our international network of collaboration partners +are provided. + +The position will be a fixed-term position (CDD) for initially 18 months. +Further extensions depend on progress and the funding situation. For more information on working at EPFL see also the website on [current employment conditions](https://www.epfl.ch/about/working/working-at-epfl/employment-conditions). #### Deadline and starting date -Initial screening will start 1st August 2023 and continue +Initial screening of candidates will start 1st August 2024 and continue until a suitable candidate has been found. -The expected starting date is January 2024, +The expected starting date is late 2024, but this can be negotiated in both directions. ---> +[^1]: J. Wu, M. Poloczek, A. Wilson, P. Frazier. [*Bayesian Optimization with Gradients.*](https://proceedings.neurips.cc/paper_files/paper/2017/file/64a08e5f1e6c39faeb90108c430eb120-Paper.pdf) NeurIPS (2017). +[^2]: K. Fisher, M. F. Herbst, Y. Marzouk. [*Multitask methods for predicting molecular properties from heterogeneous data.*](https://arxiv.org/pdf/2401.17898) Journal of Chemical Physics (2024). [arXiv:2401.17898](https://arxiv.org/pdf/2401.17898)