Postdoc in Developing AI/ML workflows for quantitative analysis of lipid nanoparticles Full-time

Postdoc in Developing AI/ML Workflows for Quantitative Analysis of Lipid Nanoparticles

Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data collection parameters for automated analysis pipelines; developing, optimising and implementing AI/ML workflows and validating analysis using physico chemical approaches. The research will be in close collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions to collaborative projects / grant writing.

The Barriga lab are a multidisciplinary group combining biology, physics and chemistry to advance our understanding of biological processes with a specific focus on structure – function relationships in lipid systems for drug delivery (predominantly lipid nanoparticles). The group has extensive expertise using large scale research infrastructures to study lipid systems and couples these to biological assays.

The group is part of the Division of NanoBiotechnology within the Department of Protein Science and we are located at SciLifeLab in Solna.

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made
• Documented expertise using AI/ML approaches (neural networks)
• Documented expertise of advanced image analysis (e.g. classification, quantitative analysis)
• Experience supervising / co supervising Masters / PhD students
• Experience of multi-disciplinary collaboration and teamwork
• Evidence of ability to work independently

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Experience working with Cryo EM
• Experience working with lipid nanoparticles
• Experience working with small angle scattering
• Great emphasis will be placed on personal skills
• Ability to communicate (written, spoken) in English as it is required for day to day work
• Awareness of diversity and equal opportunity issues (specific focus on gender equality)

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH's core values as a university and public authority.

Learn more about our benefits and what it's like to work and grow at KTH.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Cover letter detailing motivation for the research, your academic interests and how they relate to your previous studies and future goals, key competencies related to the position. Max two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Other information

For information about processing of personal data in the recruitment process.