PhD candidate, Feature-based machine learning for precision diagnosis of neuromuscular diseases

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Leiden, Nederland Universiteit Leiden Voltijd

Key responsibilities


The person employed in this PhD position will be responsible for: conducting original and novel research in the field of applied machine learning; development of the methodology of classification of nEMG recordings complementary to the deep learning approach; design and implementation of the feature-based machine learning platform for the classification of nEMG recordings; integration of the developed platform within the project’s toolbox and multicentre database of anonymised patient data; collaboration with researchers in their own group, two other PhD students involved in the project in other institutions and their respective research groups; publishing and presenting scientific results at international conferences and journals; completing the courses on academic and transferable skills as required by Leiden University; providing assistance in relevant teaching activities within LIACS.

Selection Criteria
The successful applicant should be a motivated university graduate who is a top performer among his/her peers and has an excellent education and/or research track record proven by relevant experience, publications, etc. Candidates in the final stages of obtaining their degree are eligible to apply. The applicant is expected to have or be close to obtaining:

MSc degree in Computer science, Applied Mathematics, Physics, Artificial Intelligence, Data science or related field; Excellent programming skills in, e.g., Python and/or C++ (as evidenced by, e.g., a code repository link); Credible experience with Machine Learning and/or Data science projects; Excellent written and oral communication skills in English, Dutch proficiency or willingness to learn is a plus; Ability to work with diverse stakeholders, along with an affinity for connecting work in Computer Science to other relevant disciplines.

Research at our faculty
The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to contribute to addressing the major societal challenges of the future.


Terms and conditions
We offer a full-time position for one year initially. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility, the appointment will be extended by further three years. Salary ranges from € 2.770,- to € 3.539,- gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities). Preferred starting date for this position is November 1, 2024 or soon thereafter. Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break.

Within this project, PhD students are encouraged to spend a semester abroad, and a budget is available to cover their expenses. Moreover, generous (conference) travel budgets are available for the position.

D&I statement
Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

Applications
Please submit online your application via the blue button in the vacancy. Applications submitted via email will not be considered.

Please ensure that you upload the following additional documents quoting the vacancy number:

Motivation letter Curriculum vitae Academic transcript of the MSc degree Names of 2-3 references if applicable

Only applications received before September 15, 2024 can be considered. Selected candidates will be invited for an interview in the beginning of October 2024.



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