Postdoctoral Researcher in Biomedical Engineering with Focus on Neuroengineering

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Lund University was founded in 1666 and is consistently ranked as one of the world's leading institutions of higher education. With approximately 46,000 students and 8,500 employees in Lund, Helsingborg, and Malmö, we are united in our commitment to understand, explain, and improve our world and the human condition. Are you an expert in computational modeling, machine learning, or signal processing with a strong interest in neuromuscular physiology? Are you interested in tackling challenging problems in neuromuscular physiology and developing scalable algorithms for large biomedical datasets? Are you aiming for a research career in academia and wish to work in a collaborative, interdisciplinary environment? Description of the Workplace The position is located within the Neuroengineering research environment at the Department of Biomedical Engineering, LTH, Lund University. The group conducts internationally recognized research on neuromuscular interfaces, high-density surface electromyography (HD-sEMG), prosthesis control, and computational analysis of large-scale biosignals, in close collaboration with clinical and academic partners. A central focus of the group is the development of advanced computational methods to decompose HD-sEMG into motor unit activity through optimization, inference, and Bayesian modeling. This work is closely linked to GPU-accelerated high-performance computing through Lund University's national e-infrastructure. You will be part of an interdisciplinary research environment that values scientific independence, openness, and methodological innovation, with strong emphasis on reproducible research, open source, and high-quality publications. Specific Subject Description The project involves developing computational methods to process and analyze HD-sEMG recordings to extract detailed information about neural control of movement. The long-term goal is to further develop techniques for neuromuscular diagnostics, prosthesis control, and rehabilitation. The work will focus on large-scale inverse modeling and data-driven analysis of complex biosignals, implemented using high-performance computing infrastructure. The project is conducted in close collaboration with national and international partners and includes development of open-source research software. Job Responsibilities As a postdoctoral researcher, your duties will primarily involve conducting research. Teaching may also be included in your responsibilities, but no more than one-fifth of your working time. Within the scope of this employment, there is an opportunity for three weeks of higher education pedagogical training. The purpose of the employment is to develop your independence as a researcher and create conditions for further career advancement. Your research work will consist of developing and implementing advanced computational methods for analyzing high-density surface electromyography (HD-sEMG) and related neuromuscular data. The work combines method development with analysis of experimental data and close collaboration with national and international research partners. Your responsibilities will include: Conducting research in biomedical engineering and neuromuscular signal analysis Developing, implementing, and evaluating large-scale data analysis methods using high-performance computing infrastructure Analyzing experimental HD-sEMG data, generating simulated data, and contributing to experimental design and validation Publishing research results in international journals and presenting at scientific conferences Contributing to supervision of master's students and doctoral candidates Actively participating in collaborative projects and contributing to applications for external research funding Performing administration related to the above tasks Qualifications To be eligible for employment as a postdoctoral researcher, you must hold a doctorate degree, or a foreign degree assessed as equivalent to a doctorate degree, within the field of the position. Proof that you meet the eligibility requirement must be submitted no later than when the employment decision is made. Primarily, candidates who have completed their degree at most three years before the application deadline will be considered. If there are special circumstances, the doctorate degree may have been completed earlier. Other Requirements Very good knowledge of English, both spoken and written Experience with computational modeling, signal processing, machine learning, statistical inference, scientific programming, or related data-driven methods, including programming in Python or similar high-level languages Scientific competence and methodological skills relevant to computation-oriented biomedical engineering, including analysis of biomedical signals such as EMG, EEG, MEG, or related time-series data Ability to work independently and take responsibility for advancing research projects Good collaborative skills and ability to work in an interdisciplinary research environment Scientific publications in international peer-reviewed journals within a relevant field For the complete description, see: https://lu.varbi.com/what:job/jobID:946860/

Přehled

Typ

job

Stav

active

Viditelnost

public

Město

Lund

Adresa

Box 118

GPS

55.7205201, 13.1642678kopírovatotevřít v ▾

Email

[email protected]

Telefon

046-2229362

Zobrazení

4

Publikováno

17. 6. 2026

Upraveno

21. 6. 2026

Parametry