WASP-WISE postdoc in machine learning for chemical process discoveries

3 weeks ago

Linköping, Östergötland, Sweden Linköping University Full time

Organisation/Company: Linköping University

Research Field: Mathematics » Computational mathematics, Chemistry » Other, Computer science » Other

Researcher Profile: Recognised Researcher (R2)

Country: Sweden

Application Deadline: 19 Apr 2025 - 22:00 (UTC)

Type of Contract: Temporary

Job Status: Full-time

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Reference Number: 853--1-26294

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application

We are now looking to appoint a postdoc in the field of Machine Learning and Computational Chemistry.

This recruitment is linked to the Wallenberg AI, Autonomous Systems and Software Program (WASP) and Wallenberg Initiative Materials Science for Sustainability (WISE).

Thin layers, or films, of various materials are of remarkably high technological importance for several aspects of our everyday lives. One main technology for making thin films is chemical vapour deposition (CVD) which is based on a flow of reactive gases containing the atoms needed for the film material and is typically understood via computational fluid dynamics (CFD). However, CFD simulations for CVD processes and the associated experiments are extremely costly (e.g., computation, gases, raw materials, and wastes) and usually lack uncertainty quantifications. The goal of this project is to integrate probabilistic machine learning methods and models to accelerate CFD computations and improve predictive modelling for CVD. We pay particular attention to methods driven by generative diffusion models, physics-informed neural networks, and probabilistic numerics.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours if desired. The duties also include contributing to the scientific discussion at the department, for instance by participating in and organizing reading groups and seminars and engaging in PhD supervision. You are expected to actively engage in the collaboration with the different project partners and to serve as a link between the involved departments.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are seeking applicants who have a PhD degree in machine learning, statistics, scientific computing, computational chemistry, applied mathematics, or a related area that is considered relevant for the research topic of the project. Candidates with background in machine learning or computational chemistry are both welcomed. It is highly advantageous with research experience in one or more of the following areas:

  • Computational simulations of chemical processes (e.g., CVD).
  • Computational fluid dynamics or (probabilistic) numerical methods for PDEs.
  • Deep learning for chemistry.

The position requires very good knowledge of both spoken and written English. Scholarly proficiency must have been demonstrated through original research resulting in publications in internationally recognised journals and conferences. Publications in statistics, machine learning, scientific computing, and computational chemistry, are particularly advantageous. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore have a strong drive towards performing fundamental research; the ability and interest to work in a team; and strong communication skills.

The workplace

Linköping University is one of the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as WASP, WISE, and ELLIIT and you will have access to state-of-the-art computing infrastructure for machine learning, e.g., through Berzelius.

This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The employment is full-time.

This WASP-WISE project officially lasts for one year, but the applicant may continue the research beyond this period or pursue a new research direction, subject to agreement.

Starting date is as soon as possible, by agreement.

Salary and employment benefits

The university applies individual salaries.

More information about employee benefits is available here.

Apply for the position by clicking the "Apply" button. Your application must be received no later than April 20, 2025.

Applications and documents received after the date above will not be considered.

Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application.

Please note that printed publications will not be returned. They will be archived at Linköping University.

In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are.

We look forward to receiving your application

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

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