École Polytechnique Fédérale de Lausanne
4 days ago
Postdoc in High-Throughput Self-Driving Analytical Chemistry at EPFL Swiss CAT+ École polytechnique fédérale de Lausanne in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral position available; funding details, stipend, and duration are not specified in the post.
Country
Switzerland
University
École Polytechnique Fédérale de Lausanne

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About this position
EPFL Swiss CAT+ West Hub is advertising a postdoctoral position in High-Throughput Self-Driving Analytical Chemistry. The project sits at the intersection of analytical chemistry, LC-MS, optimization algorithms (including Bayesian approaches), automated signal processing, deconvolution, and machine learning for automated method prediction.
This opportunity is a strong fit for candidates interested in self-driving laboratories, data-driven chemistry, and automation-enabled analytical workflows. The post specifically seeks a highly motivated applicant with LC-MS skills and an interest in computational methods that improve method development and prediction.
The position is based at École polytechnique fédérale de Lausanne (EPFL) in Switzerland. The post does not mention a deadline, stipend amount, or formal portal; interested candidates are asked to contact Pascal Miéville directly by email.
Keywords: analytical chemistry, LC-MS, Bayesian optimization, machine learning, automated signal processing, deconvolution, self-driving labs.
Funding details
Postdoctoral position available; funding details, stipend, and duration are not specified in the post.
What's required
Highly motivated candidate with LC-MS skills and interest in optimization algorithms such as Bayesian methods, automated signal processing and deconvolution, and machine learning technologies for automated method prediction.
How to apply
Contact Pascal Miéville by email to express interest. No formal application portal is mentioned in the post.
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