Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the ability to create change that makes an impact. All that's needed is a place where ideas have the space to meet and grow. That's what we've created – and you are invited.
Change starts here!
Linnaeus University is running various national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications – DISA (www. lnu.se/en/disa) addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science, and humanities.
The advertised position will be placed at the department of Mathematics and within the research group Deterministic and Stochastic Modelling in DISA. The research group focuses on the interplay of data-driven and process and physics-based. Applications of their research are found in science, engineering and economics.
Subject area for the position: Mathematics
Location until further notice: Växjö, Sweden.
Hours and term: Full-time for 2 years.
Starting date: January 2025
Job description
The work for the position takes place within the research group Deterministic and Stochastic Modelling in DISA. The research group focuses on the interplay of data-driven and process and physics-based. Applications of our research are found in science, engineering and economics.
We are seeking a highly motivated Postdoctoral Researcher to join our team, focusing on the interlink of stochastic analysis and machine learning. The successful candidate will contribute to the development of innovative methods that bridge data-driven models with physics-based models, particularly within the context of multiscale modeling in machine engineering and ecosystems. The position offers an exciting opportunity to collaborate with computer scientists and mathematicians on cutting-edge research that addresses complex real-world challenges.
The tasks consist of 80% research and 20% of teaching in mathematics.
Key Responsibilities:
Conduct research at the interface of stochastic analysis and machine learning.
Develop methodologies to integrate data-based and physics-based models in multiscale modeling frameworks.
Collaborate in transdisciplinary research projects with computer scientists, mathematicians and other research areas linked to DISA projects.
The postdoc fellow will be working with applied research together with public organizations and companies. The postdoc fellow is expected to regularly present intermediate/final research results at international conferences and workshops and publish them in conference proceedings and journals.
Qualifications:
A doctorate in mathematics or another field relevant to the assessment criteria below, or possesses an equivalent degree from another country, and has relevant research experience for the aforementioned project, qualifies for the position.
In accordance with the postdoc agreement, applicants who were awarded their degree no more than three years prior to the last application date for the present position should be considered first.
An applicant must not previously have been employed as a postdoc for more than a year within the same or a related subject area at Linnaeus University.
Eligibility Requirements
The applicant is expected to have:
Documented expertise in research of stochastic analysis applied to machine learning through publications in reputable journals.
Proficiency in programming languages (e.g., Python, R, or similar).
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills in English.
Ability to work independently as well as in a collaborative research environment.
Teaching experiences in Mathematics and thematic fields are a plus.
Since the subject is male dominated, we encourage female applicants.
Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to the successful development of the research environment.
For further information please contact:
Head of department, Håkan Sollervall, e-post: [email protected]
Research leader, Wolfgang Bock, e-post: [email protected]
HR-partner: Erika Hjelmer tel. 0470-70 82 06, e-post: [email protected]
Welcome to submit your application!
Last day for applying is 18th December 2024
Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.
Please apply by clicking on the Apply button at the bottom of the ad. Your application should be designed according to the Template for application which can be found in the Guide to Appointment procedures under important documents below the ad. The credentials you invoke must be verified with certification and they must be attached digitally in your application. Other documents, including various types of scientific works, must be submitted digitally along with the application. The application and other documents to be marked with the reference number. All documents cited must be received by the University no later than 23.59 (Local time in Sweden) on the closing day.