Department: Department of Biomedical Engineering, Faculty of Engineering (LTH)
Institution: Lund University
Employment Type: Temporary Position (Postdoctoral)
Contract Type: Full Time
Duration: 2 Years (Fixed-term)
Starting Date: As soon as possible, by agreement
Salary: Monthly Salary
Number of Positions: 1
Full-time Equivalent: 100%
Location: Lund, Skåne County, Sweden
Reference Number: PA2026/2078
Published: 17 June 2026
Application Deadline: 31 August 2026

About Lund University

Lund University was founded in 1666 and is consistently ranked among the world's leading universities. The University has approximately 46,000 students and 8,500 employees based in Lund, Helsingborg, and Malmö. Through research and education, the University is committed to understanding, explaining, and improving the world and the human condition.

About the Position

Are you an expert in:

• Computational modelling,
• Machine learning,
• Signal processing,

with a strong interest in neuromuscular physiology?

Are you interested in solving challenging inverse problems in neuromuscular physiology, developing scalable algorithms for large biomedical datasets, and pursuing an academic research career within an interdisciplinary research environment?

This position offers an opportunity to contribute to cutting-edge neuroengineering research while developing as an independent researcher.

About the Research Environment

The position is hosted within the Neuroengineering Research Environment at the Department of Biomedical Engineering, Faculty of Engineering (LTH), Lund University.

The research group conducts internationally recognized research in:

• Neuromuscular interfaces.
• High-density surface electromyography (HD-sEMG).
• Prosthetic control.
• Computational analysis of large-scale biosignals.

The group collaborates closely with clinical and academic partners.

Current research focuses on developing advanced computational methods for decomposing HD-sEMG into motor-unit activity using:

• Sparse optimization.
• Variational inference.
• Bayesian modelling.
• Physiological constraints.

Research is supported by GPU-accelerated high-performance computing using Lund University's national e-infrastructure.

The research environment emphasizes:

• Scientific independence.
• Methodological innovation.
• Open science.
• Reproducible research.
• Open-source software.
• High-impact publications.

Project Description

The project focuses on developing computational methods for processing and analysing high-density surface electromyography (HD-sEMG) recordings to extract detailed information about neural control of movement.

The long-term objective is to advance technologies for:

• Neuromuscular diagnostics.
• Prosthetic control.
• Rehabilitation.

The research involves:

• Large-scale inverse modelling.
• Data-driven analysis of complex biosignals.
• High-performance computing.
• Development of open-source research software.

The project is conducted in collaboration with national and international research partners.

Work Duties

The primary responsibility is to conduct research. Teaching may be included for up to 20% of working time.

The position also includes the opportunity to complete three weeks of training in higher education teaching and learning.

Main responsibilities include:

• Conduct research in biomedical engineering and neuromuscular signal analysis.
• Develop, implement, and evaluate large-scale data analysis methods using high-performance computing infrastructure.
• Analyse experimental HD-sEMG data.
• Generate simulated datasets.
• Contribute to experimental design and validation.
• Publish research findings in international scientific journals.
• Present research at national and international conferences.
• Contribute to the supervision of Master's and doctoral students.
• Participate actively in collaborative research projects.
• Contribute to applications for external research funding.
• Perform administrative duties related to the research activities.

Qualification Requirements

Applicants must hold:

• A PhD, or an equivalent international doctoral degree, in a relevant subject area.

The doctoral degree certificate must be available before the employment decision is made.

Priority will be given to applicants who obtained their PhD within three years before the application deadline, unless special circumstances apply.

Additional Requirements

Applicants should have:

• Experience in:Programming experience in Python or similar high-level programming languages.
  • Computational modelling.
  • Signal processing.
  • Machine learning.
  • Statistical inference.
  • Scientific computing.
  • Related data-driven methods.
• Scientific competence relevant to computational biomedical engineering.
• Experience analysing biomedical signals such as:Excellent written and spoken English.
  • EMG.
  • EEG.
  • MEG.
  • Other time-series data.
• Ability to work independently and drive research projects.
• Strong collaborative skills within interdisciplinary environments.
• Publications in international peer-reviewed journals relevant to the field.

Assessment Criteria

This is a career development position primarily focused on research.

Assessment will emphasize:

• Ability to conduct high-quality research.
• Research potential.
• Teaching ability.

Additional Merits

The following qualifications are considered advantageous:

• Experience analysing large datasets.
• Development of computational methods for complex data.
• Experience acquiring or analysing:High-performance computing.
  • EMG.
  • EEG.
  • MEG.
  • Related biosignals.
• GPU-based computing.
• Parallel programming.
• Probabilistic modelling.
• Inverse problems.
• Development and maintenance of structured, reproducible research software.

Consideration will also be given to how the applicant's expertise complements and strengthens ongoing research within the department.

What We Offer

Lund University is a public authority offering employees:

• Generous annual leave.
• An advantageous occupational pension scheme.
• Excellent employment benefits.
• Opportunities for professional development within an internationally recognized research environment.

Employment Details

• Employment Type: Fixed-term Postdoctoral Position
• Duration: 2 Years
• Workload: Full Time (100%)
• Starting Date: As soon as possible, by agreement

Employment follows the agreement:

"Avtal om tidsbegränsad anställning som postdoktor" (Agreement on fixed-term employment as a postdoctoral fellow).

Application

Applications must be submitted through Lund University's recruitment system.

Applicants should include:

• Curriculum Vitae (CV).
• Personal letter explaining:PhD degree certificate (or equivalent).
  • Interest in the position.
  • How qualifications match the project.
• Any additional supporting documents, such as:
  • Academic transcripts.
  • Referee contact details.
  • Letters of recommendation.
  • Other relevant documentation.

The University welcomes applications from qualified candidates.

About the Faculty of Engineering (LTH)

LTH is Lund University's Faculty of Engineering.

The Faculty:

• Educates nearly 12,000 students.
• Produces approximately 100 doctoral theses annually.
• Publishes around 2,000 scientific research findings each year.
• Conducts internationally recognized research in technology, architecture, and design.
• Supports innovation and societal development through research and education.

Contact

Christian Antfolk
Email: christian.antfolk@bme.lth.se

Union Representatives

SEKO – Seko Civil

• Telephone: 046-2229366
• Email: sekocivil@seko.lu.se

OFR/ST – Fackförbundet ST

• Telephone: 046-2229362
• Email: st@st.lu.se

SACO – Saco-s-rådet vid Lunds universitet

• Telephone: 046-2220000
• Email: kansli@saco-s.lu.se

Lund University kindly declines all sales and marketing contacts.

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