.Job Title: Postdoctoral Researcher – AI in Digital HealthLocation: The position can be based in Belgium, Netherlands, France, Germany, Spain, UK, Switzerland, Italy, and Boston, USA.
Remote work options may be considered on a case-by-case basis and if approved by the company.Description: The Data Science Analytics & Insights team is actively searching for a highly motivated and visionary postdoctoral researcher, with a primary research focus on innovative Artificial Intelligence/Machine Learning (AI/ML) algorithms to extract valuable insights from structured and unstructured multimodal data sources.
We are particularly interested in candidates with expertise in natural language processing (NLP) and a deep passion for making a meaningful impact through their work.
Your contributions will involve developing and validating AI/ML solutions to solve complex problems across various therapeutic areas within the organization.Key Responsibilities: Conceive, develop, and validate AI/ML solutions for high-priority scientific research projects.Analyse and interpret multimodal data – including speech, text, and actigraphy data – from various sources.Participate in cross-functional collaborations with internal stakeholders and external partners.Clearly communicate the state-of-the-art methods and results to diverse audiences and partners to support decision-making.Publish findings in top-tier journals and conferences.Qualifications: Required qualifications:A Ph.D. degree in AI/ML or a related field (e.G., computational linguistics, computational biology, computational neuroscience, computer science, data science, applied mathematics, statistics, electrical engineering, signal processing) obtained within the last 2 years or to be completed within the next 3 months.Proven track record of applying advanced AI/ML techniques, supported by publications in peer-reviewed journals and conferences.Experience with standard analytical techniques (e.G., logistic regression, support vector machines, random forest, boosting, ensemble methods) and advanced AI methodologies (e.G., convolutional neural networks, recurrent neural networks, attention models, transformers).Experience with basic and advanced NLP techniques (e.G., word2vec, wav2vec, Whisper, BERT, GPT).Knowledge of statistical methods.Proficiency in one or more programming languages (e.G., Python).Experience with software development tools (e.G., Git).Analytical mindset and critical thinking.Ability to continuously learn and acquire new knowledge and skills.Ability to optimally communicate technical work to a wide and diverse audience, both in oral and written forms.Ability to work both independently and in a diverse, multidisciplinary team.Passionate about leveraging data to drive scientific innovation.Preferred ("nice-to-have") qualifications:Experience in analysing speech and actigraphy data.Experience in analysing biomedical data.Background in biology or a related field (e.G., neuroscience)