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Available vacancies

University Lecturer in Computational Social Science – temporary assignment Principal Research Engineer in Organic Photonics and Nano-Optics Postdoc in Soft Electronics Application Experts to MIMER AI Factory, NAISS International student assistants Principal Research Engineer in Computational Modeling of Radical-Based Systems PhD student in wireless systems Principal Research Engineer in Clinical Neurophysiology Professor in Child Studies PhD student in Medical Science PhD student in generative modeling for data-efficient machine learning PhD student in AI-driven Computer Graphics and Image Synthesis Research Engineer Postdoc in Molecular Immunology and Proteomics Assistant professor in Computer Science with Specialisation in Cybersecurity Postdoc in electrocatalysis for sustainable energy and chemical conversion PhD student in electrocatalysis for sustainable energy conversion Assistant professor in Machine Learning with a focus on Trustworthy Visual Data Postdoc in Pharmacogenomics and Machine Learning Principal research engineer within Organic Bioelectronics Postdoc in biocomposites Research Assistent Ph D position in Environmental Technology and Management Cryo-EM method development and analysis PhD student in Theoretical Physics Postdoc in stretchable fluid batteries for sustainable wearable electronics PhD student in financial mathematics or financial statistics PhD student in AI Security: Information-Theoretic Foundations of Memory Poisoning PhD Position in Sustainability Analysis of Contaminated Land Remediation Research Assistant within Applied Physics PhD in Plant Bioelectronics PhD in Design with focus on heterogeneous adaptive swarm systems PhD Positions in Computer Vision and Learning Systems for Heterogeneous Adaptive Swarm Systems Research Assistent PhD Student with a Focus on Distributed Radar and Communication in Autonomous Drone Swarms Postdoc in AI for cybersecurity of communication software PhD students in sensor fusion and optimal motion planning for drone swarms Ph D position in Business Administration PhD student in cognitive science or design with a focus on socially critical use of drone swarms Linköpings universitet PhD in Applied Physics Postdoc in Organic Bioelectronics PhD Student in Automatic Control with focus on sensor fusion for localization PhD student in Fluid and Mechatronic Systems UX design assistant - Visualization Center C Postdoc in Organic Chemistry Postdoc in Organic Chemistry PhD student in Medical Science Postdoctor in AI Implementation in Healthcare PhD student in Computer Science with focus on heterogeneous adaptive swarm systems Linköpings universitet Linköpings universitet Linköpings universitet Linköpings universitet Linköpings universitet Linköpings universitet PhD student in Flight Logistics Linköpings universitet Associate professor in design PhD position in Environmental Technology and Management Professor in Neuroengineering
Postdoc in Financial Mathematics or Statistics
2026-06-04 · via Available vacancies

We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. 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!

Work assignments 

The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios.

Motivated by the widespread application of sample generalized inverses in practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional sample covariance matrix. The project's findings will yield improved estimators of high-dimensional quantities by developing new linear and nonlinear shrinkage approaches. In particular, new estimators of optimal portfolio weights will be derived, leading to considerably more stable and less risky trading strategies.

For this position, we are seeking a highly qualified postdoctoral researcher who will contribute substantially to the quantitative research carried out in the division in collaboration with national and international partners.

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.

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.

We are seeking a candidate who holds a PhD in a quantitative discipline such as mathematics, statistics, or a related field, with applications in finance or economics. Candidates will be evaluated based on their publication record and their active participation in international conferences relevant to the position. Publications in leading international journals in statistics, econometrics, and finance will be considered a strong merit.

Particular consideration will be given to candidates who have demonstrated the ability to conduct high-quality research in high-dimensional statistical theory, from both theoretical and applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable.

The successful candidate is expected to be fluent in English and open to both national and international research collaboration related to the position. Knowledge of Swedish is considered meritorious but is not a requirement. 

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.

The workplace

You can read about the workplace here: Production Economics (PEK) - Linköping University

The employment

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. Starting by agreement.

Background screening may come to be carried out before any decision on employment is made.

Salary and employment benefits

The university applies individual salaries.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button. Your application must be received no later than 15 augusti, 2026.
 
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. Read more about our work with: Equal opportunities.

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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