Join the forefront of biomedical research with BE-LIGHT, an MSCA doctoral network with the aim of improving biomedical diagnosis through light-based technologies and artificial intelligence.

BE-LIGHT brings together Europe's leading experts in photonic techniques and machine learning algorithms from 7 top academic institutions and 3 internationally recognized hospitals: Max-Planck-Institut für Dynamik und Selbstorganisation (MPI), Universitat Zurich (UZH), Georg-August-Universitat Gottingen Stiftung Offentlichen Rechts (UGOE), Uniwersytet Mikolaja Kopernika w Toruniu (NCU), Politechnika Gdanska (PG), Sorbonne Université (SU), Universitat Politècnica de Catalunya (UPC), Instituto de Microcirugía Ocular (IMO), Universitaetsmedizin Goettingen - Georg-August-Universitaet Goettingen - Stiftung Oeffentlichen Rechts (UMG) and Fundació Sant Joan de Déu (FSJD).

As a researcher, you will have the unique opportunity to contribute to cutting-edge projects, collaborate with interdisciplinary teams, and receive top-level training in photonic technologies, artificial intelligence, and computational imaging.

A close-to-the-clinic approach will allow you to advance the field of biomedicine, with the ultimate goal of improving the understanding, diagnosis and treatment of diseases in 3 main research areas: visual health, cardiovascular health and analysis of cells and tissues using super-resolution microscopy.

There will be 11 Ph.D. positions open for application offering you the opportunity to receive top level training in the following photonic techniques: multispectral imaging, eye-tracking, optical coherence tomography, multispectral optoacoustic tomography, super-resolution microscopy and optogenetics. Additionally, the training program will be enriched with education in artificial intelligence, computational imaging, and modelling.

MSCA Ph.D. position: Machine learning algorithms for diagnostic procedures based on imaging the shapes of single molecules or molecular complexes – open position

In this position you will have the opportunity to develop new methods of imaging and machine learning (ML) image analysis that will enable the automated analysis of cellular and human samples for diagnostic procedures, relying on one–step nanoscale expansion (ONE) microscopy. We propose to apply ONE microscopy to study molecular aggregates composed of several proteins (i.e.: alpha-synuclein, ASYN) in cerebrospinal fluid samples from Parkinson’s disease patients, and to explore ML approaches for classifying molecular aggregates, which represents a promising approach towards an improved diagnosis.

Your supervisor, host institution and secondments:

Supervisor: Prof. S. Rizzoli

Institution: Universitätsmedizin Göttingen (UMG), Göttingen, Germany

Duration: 36 months

PhD program: Göttingen Graduate School for Neurosciences, Biophysics and Molecular Biosciences

Research group: Department of Neuro and Sensory Physiology

Secondments (short visits) at: Georg-August-Universität Göttingen (UGOE, Germany), Politechnika Gdańska (PG, Poland) and company Beamagine (Spain).

Contact information: srizzol@gwdg.de

You will be offered:

To work within an interdisciplinary environment, receiving training from leading experts in super-resolution microscopy in a full-time Ph.D. position for 36 months, in which living and mobility costs will be fully covered with a gross salary of 33,114.20 EUR per year.

We are looking for: 

• M.Sc. degree in neuroscience, cell biology or related field from outside Germany.
• Strong interest and experience physical sciences, biomaterials or deep learning.
• Experience with microscopy and fluorescence imaging.
• Excellent communication and writing skills in English.
• Intrinsic motivation and a high level of independence, capacity to contribute your ideas to the project.
• Team player and openness for collaboration within our research group, within the project, and beyond.

We will also take into account that you have:

• Experience in MATLAB is desirable.
• Ability to work in an interdisciplinary environment.
• Effective communication skills.
• Adaptability and problem-solving skills.
• Clinical knowledge.

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For more information about these 11 Ph.D. positions, please go to visit BE-LIGHT’s project website:

https://belightproject.eu/jobs/

• You can apply up to three positions indicating the order of preference on the email to each supervisor.
• Shortlisted candidates will be invited to take personal interviews with the relevant supervisor(s).