Stockholm University is offering a PhD student position in Bioinformatics, with a focus on machine learning applications for complex biological processes. The research will be conducted within the project "Machine Learning for Bioinformatics Applications" at the Department of Biochemistry and Biophysics, in collaboration with SciLifeLab, a leading national center for molecular biosciences. The successful candidate will join the Computational Microscopy for Cell Biology (CMCB) lab, led by Dr. Juliette Griffié, which specializes in advanced data and image analysis, modeling strategies, and interdisciplinary research at the interface of biology, computer science, and mathematics. The project aims to tailor interpretable machine learning and generative AI strategies to study genomic processes using cutting-edge microscopy and DNA sequencing data. Research topics include reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnostics, and graph neural networks for microscopy data analysis. The lab environment is highly international and multidisciplinary, providing opportunities for collaboration and professional growth. Applicants must have a master's degree or equivalent in engineering, computer science, physics, mathematics, or related fields, or have completed at least 240 ECTS credits (with at least 60 at the advanced level). A strong foundation in life sciences and analytical thinking is required. Eligibility includes at least 90 ECTS credits in chemistry, molecular biology, biotechnology, computer science, mathematics, or physics, and an independent project of at least 30 ECTS credits, plus advanced coursework totaling 60 ECTS credits in relevant fields. Experience with machine learning implementation is required; experience with interpretable ML and/or generative AI is an advantage. Proficiency in English and/or Swedish, analytical ability, creativity, initiative, independence, and teamwork skills are also required. Selection is based on academic performance, relevance of previous studies, references, and interviews. The position is a full-time, fixed-term doctoral employment for up to four years, with a salary according to Stockholm University regulations. The position is fully funded, including salary and social benefits. No tuition fees are required for doctoral students in Sweden. The application deadline is 22 February 2026. For more information, contact Dr. Juliette Griffié ([email protected]) or Professor Andreas Barth ([email protected]). To apply, submit your application via the Stockholm University recruitment system, including a cover letter, CV, and all required documents as specified in the application form. Ensure your application is complete and submitted before the deadline. Refer to the official job posting for detailed instructions.

Stockholm University is inviting applications for a PhD student position in Bioinformatics, with a focus on machine learning for bioinformatics applications. The research will be conducted at the Department of Biochemistry and Biophysics, within the SciLifeLab national center, and specifically in the Computational Microscopy for Cell Biology (CMCB) lab led by Dr. Juliette Griffié. The project centers on developing interpretable machine learning and generative AI strategies to study complex biological processes, such as how DNA sequences influence genomic processes using advanced microscopy and sequencing data. The ideal candidate will have a strong background in bioinformatics, computational biology, molecular biology, biotechnology, chemistry, computer science, mathematics, or physics. Applicants must have a master's degree or equivalent, with at least 90 undergraduate credits and 60 advanced credits (including a 30-credit independent project) in relevant fields. Experience with machine learning implementation is required, and additional experience with interpretable ML or generative AI is advantageous. The position offers the opportunity to join a vibrant, multidisciplinary research environment at SciLifeLab, collaborating with engineers, physicists, and mathematicians on cutting-edge data analysis and modeling for biological discovery. The doctoral position is a full-time, fixed-term employment for up to four years, with annual renewal and a fixed salary. The role may include up to 20% teaching, research, or administrative duties. Stockholm University is committed to equal opportunities and a discrimination-free workplace. The application deadline is 22 February 2026. For more information, contact Dr. Juliette Griffié or Professor Andreas Barth. Apply via the Stockholm University recruitment system, ensuring all required documents are submitted before the deadline.

Stockholm University is offering a PhD student position in Bioinformatics, with a focus on machine learning applications for complex biological processes. The research will be conducted at the Department of Biochemistry and Biophysics, within the SciLifeLab national center, and is part of the Computational Microscopy for Cell Biology (CMCB) lab led by Dr. Juliette Griffié. The project centers on developing interpretable machine learning and generative AI strategies to analyze advanced microscopy and DNA sequencing data, aiming to characterize genomic processes and address analytical challenges in molecular biosciences. The ideal candidate will have a strong background in chemistry, molecular biology, biotechnology, computer science, mathematics, or physics, and must demonstrate experience in machine learning implementation. The research environment is highly international and multidisciplinary, with opportunities to collaborate across engineering, physics, and mathematics. The lab's research scope includes reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnostics, and graph neural networks for microscopy data analysis. Eligibility requires a master's degree or equivalent, with at least 240 ECTS credits (including 60 at advanced level), and a minimum of 90 ECTS credits in relevant fields. Applicants must also have completed an independent project of at least 30 ECTS and possess strong analytical, creative, and collaborative skills. Proficiency in English and/or Swedish is required. Selection is based on academic merit, relevance of previous studies, references, and interviews. The position is a full-time, fixed-term doctoral employment for up to four years, with annual renewal and salary according to university regulations. The application deadline is 22 February 2026. For more information, contact Dr. Juliette Griffié or Professor Andreas Barth. Apply via the Stockholm University recruitment system, ensuring all required documents are submitted before the deadline.

Stockholm University is inviting applications for a PhD student position in Bioinformatics, with research focused on data-driven life sciences and gene regulatory network inference using multi-omics data. The project, based at the Department of Biochemistry and Biophysics and affiliated with SciLifeLab, aims to develop novel AI and deep learning techniques to enhance gene regulatory network analysis, leveraging gene perturbation designs for single-cell and spatial omics data. The research will contribute to understanding cell type and tissue heterogeneity, with applications in areas such as cancer development. Applicants should have a strong background in bioinformatics, computational biology, or a related field, with specific coursework in Chemistry, Molecular Biology, Biotechnology, Computer Science, Mathematics, or Physics. Essential skills include proficiency in Python, Matlab, R, UNIX, and experience with omics data analysis. Familiarity with deep learning frameworks such as PyTorch or TensorFlow is highly desirable. Candidates must demonstrate strong analytical thinking, creativity, collaboration, and independence, as well as proficiency in written and spoken English. The position is a fixed-term, full-time doctoral employment for up to four years, with a fixed salary. The role may include up to 20% work in teaching, research, or administration. The application deadline is 22 February 2026. Interested candidates should apply via the Stockholm University recruitment portal, submitting a personal letter, CV, and all required documents as specified in the application instructions. For more information, contact Professor Erik Sonnhammer or Professor Andreas Barth. Stockholm University is committed to equal opportunities and a discrimination-free workplace. The research environment is highly collaborative, with access to advanced technical resources and expertise through SciLifeLab, a national center for molecular biosciences.