{"id":12139,"date":"2026-05-29T23:12:51","date_gmt":"2026-05-29T21:12:51","guid":{"rendered":"https:\/\/nanohelp.eu\/careers\/job\/postdoc-in-developing-ai-ml-workflows-for-quantitative-analysis-of-lipid-nanoparticles\/"},"modified":"2026-06-15T00:12:10","modified_gmt":"2026-06-14T22:12:10","slug":"postdoc-in-developing-ai-ml-workflows-for-quantitative-analysis-of-lipid-nanoparticles","status":"expired","type":"job_listing","link":"https:\/\/nanohelp.eu\/careers\/?post_type=job_listing&p=12139","title":{"rendered":"Postdoc in Developing AI\/ML Workflows for Quantitative Analysis of Lipid Nanoparticles"},"content":{"rendered":"

Organization:<\/strong> KTH Royal Institute of Technology<\/p>\n

School:<\/strong> School of Engineering Sciences in Chemistry, Biotechnology and Health<\/p>\n

Department:<\/strong> Division of NanoBiotechnology, Department of Protein Science<\/p>\n

Location:<\/strong> SciLifeLab, Solna\/Stockholm, Sweden<\/p>\n

Reference Number:<\/strong> PA-2026-1910<\/p>\n

Project Overview<\/h3>\n

This postdoctoral project focuses on developing artificial intelligence and machine learning workflows for quantitative analysis of lipid nanoparticles (LNPs) using Cryo-Electron Microscopy (Cryo-EM). Due to heterogeneous samples, sample variability, and limited training data, quantitative Cryo-EM analysis of LNPs remains challenging. The project aims to develop and validate automated AI\/ML pipelines for improved characterization of lipid nanoparticles.<\/p>\n

The successful candidate will optimize data collection parameters, develop and implement AI\/ML workflows, and validate results using physicochemical characterization techniques. The project is conducted in close collaboration with lipid nanoparticle researchers in the Barriga Lab and with the Cryo-EM facility at SciLifeLab.<\/p>\n

Research Environment<\/h3>\n

The Barriga Lab is a multidisciplinary research group combining biology, chemistry, and physics to investigate structure-function relationships in lipid systems for drug delivery, particularly lipid nanoparticles. The group utilizes large-scale research infrastructures and advanced characterization approaches to study lipid-based therapeutics.<\/p>\n

Key Responsibilities<\/h3>\n
    \n
  • Develop AI\/ML workflows for quantitative Cryo-EM analysis of lipid nanoparticles<\/li>\n
  • Optimize automated data collection and image analysis pipelines<\/li>\n
  • Validate computational analyses using physicochemical characterization methods<\/li>\n
  • Collaborate with multidisciplinary researchers and Cryo-EM specialists<\/li>\n
  • Contribute to teaching, supervision, collaborative projects, and grant writing<\/li>\n<\/ul>\n

    Required Qualifications<\/h3>\n
      \n
    • PhD or equivalent doctoral degree<\/li>\n
    • Documented expertise in AI\/ML approaches, particularly neural networks<\/li>\n
    • Advanced image analysis experience including classification and quantitative analysis<\/li>\n
    • Experience supervising or co-supervising Master’s or PhD students<\/li>\n
    • Experience in multidisciplinary research collaborations<\/li>\n
    • Ability to work independently<\/li>\n
    • Strong written and spoken English communication skills<\/li>\n<\/ul>\n

      Preferred Qualifications<\/h3>\n
        \n
      • Doctoral degree obtained within the last three years<\/li>\n
      • Experience with Cryo-EM<\/li>\n
      • Experience working with lipid nanoparticles<\/li>\n
      • Experience with small-angle scattering techniques<\/li>\n<\/ul>\n

        Employment Details<\/h3>\n
          \n
        • Full-time postdoctoral position (100%)<\/li>\n
        • Temporary appointment for up to 2 years<\/li>\n
        • Start date: September 2026 or according to agreement<\/li>\n
        • Number of positions: 1<\/li>\n
        • Location: Stockholm, Sweden<\/li>\n
        • Monthly salary according to KTH regulations<\/li>\n<\/ul>\n

          Application Documents<\/h3>\n
            \n
          • Curriculum Vitae (CV)<\/li>\n
          • Copies of diplomas and transcripts<\/li>\n
          • Cover letter (maximum 2 pages)<\/li>\n<\/ul>\n

            Contact:<\/strong> Dr. Hanna Barriga
            Email: barriga@kth.se<\/p>\n

            Application Deadline:<\/strong> 14 June 2026<\/p>\n

            Apply Online:<\/strong> https:\/\/kth.varbi.com\/en\/what:login\/jobID:939651\/type:job\/where:4\/apply:1<\/p>\n","protected":false},"author":37,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","job_listing_type":[49,496,497],"job_listing_category":[579,511,769,770,768,479],"job_listing_location":[771],"job_listing_tag":[],"class_list":["post-12139","job_listing","type-job_listing","status-expired","hentry","job_listing_type-full-time","job_listing_type-postdoctoral","job_listing_type-research","job_listing_category-artificial-intelligence","job_listing_category-biotechnology","job_listing_category-cryo-em","job_listing_category-drug-delivery","job_listing_category-machine-learning","job_listing_category-nanotechnology","job_listing_location-stockholm-sweden","is-featured"],"metas":{"_job_featured_image":"","_job_category":{"579":"Artificial Intelligence","511":"Biotechnology","769":"Cryo-EM","770":"Drug Delivery","768":"Machine Learning","479":"Nanotechnology"},"_job_type":{"49":"Full Time","496":"Postdoctoral","497":"Research"},"_job_tag":[],"_job_apply_type":"with_url","_job_apply_url":"https:\/\/kth.varbi.com\/en\/what:login\/jobID:939651\/type:job\/where:4\/apply:1","_job_apply_email":"","_job_salary_type":"monthly","_job_experience":"","_job_qualification":""},"_links":{"self":[{"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing\/12139","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing"}],"about":[{"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/comments?post=12139"}],"version-history":[{"count":1,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing\/12139\/revisions"}],"predecessor-version":[{"id":12140,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing\/12139\/revisions\/12140"}],"wp:attachment":[{"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/media?parent=12139"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing_type?post=12139"},{"taxonomy":"job_listing_category","embeddable":true,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing_category?post=12139"},{"taxonomy":"job_listing_location","embeddable":true,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing_location?post=12139"},{"taxonomy":"job_listing_tag","embeddable":true,"href":"https:\/\/nanohelp.eu\/careers\/wp-json\/wp\/v2\/job_listing_tag?post=12139"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}