Fixed-term

PhD position in AI and ML for analysis of single‑cell cancer data

Project description Third-cycle subject: Computer Science The project develops probabilistic and AI‑enhanced Bayesian methods to analyze tumor DNA and circulating tumor DNA (ctDNA), with the aim of detecting metastases. It combines phylogenetic modeling, single‑cell data, and longitudinal blood samples, and includes development of new deep learning–based inference methods. The project is a close collaboration between KTH and KI with access to unique international cancer data. Candidates should have a strong background in computer science, mathematics, machine learning, or computational biology. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes tohuman health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years from the KAW Foundation. In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. Read more here. Supervision: Jens Lagergren is proposed to supervise the doctoral student. Decisions are made on admission Admission requirements To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree (for example a master’s degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired, in some other way within or outside the country, substantially equivalent knowledge Master’s degree or equivalent (e.g., MSc or Civilingenjör) in computer science, mathematics, statistics, bioinformatics, or a related field In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in AI, machine learning, Bayesian inference, mathematics, programming, or phylogenetic models is considered a merit After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years’ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden. Union representatives Contact information for union representatives. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology) Contact information for PhD chapter. To apply for the position Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified. CV including your relevant professional experience and knowledge, and references. Application letter of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long). Representative publications or technical reports: For longer documents, please provide a summary (abstract) and a web link to the full text. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time). Other information For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Application Form

PhD position in in Molecular Programming

Project description Third-cycle subject: Biotechnology This PhD project aims to develop a new class of molecular information processing systems in which neural network computation is implemented directly by chemistry. The project combines experimental molecular biology, physical chemistry/thermodynamics, and machine learning. The work will integrate a back-and-forth between modelling and simulation of DNA strand dynamics, reaction scheme design, and experimental characterization of DNA reactions. The project is part of a broader effort to develop “smart PCR” systems that can recognize complex patterns in molecular mixtures without sequencing or classical digital computing. You will be based in the Molecular Programming group at KTH and SciLifeLab, working in an interdisciplinary environment with expertise in DNA nanotechnology, machine learning, and molecular diagnostics. SciLifeLab is a highly collaborative environment with access to cutting-edge infrastructure in genomics, molecular biology, and data-driven life science. The position is funded through a competitive grant from the Swedish Research Council (VR), and the project is also connected to broader networks, training opportunities, and collaborations. We are looking for a candidate with a strong interest and commitment to combining experimental and computational research. Suitable backgrounds include biotechnology, molecular biology or biochemistry with computational experience, chemical or biological engineering, or DNA nanotechnology. Experience in machine learning or statistical modelling, thermodynamics, and programming are considered beneficial. Supervision: Ian Hoffecker, together with Cecilia Williams and Ragnar Thobaben are proposed to supervise the doctoral student. Decisions are made on admission Admission requirements To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree (for example a master’s degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired, in some other way within or outside the country, substantially equivalent knowledge In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years’ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden. Union representatives Contact information for union representatives. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology) Contact information for PhD chapter. To apply for the position Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified. CV including your relevant professional experience and knowledge. Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long) Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time). Other information For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Application Form

Postdoctoral Fellow position in structural transitions associated with protein self-assembly

Job description We are looking for a postdoctoral fellow with a strong interest in protein structure and self-assembly processes. Nature has chosen proteins as building blocks for many materials with remarkable functional and mechanical properties. Spider silk, with toughness higher than both steel and Kevlar, is one prominent example. Novel protein materials inspired by these structures could be part of the solution for a sustainable society. However, we need fundamental knowledge about how to assemble materials with properties in line with the natural products with the same efficiency and control as natural producers (e.g. spiders). In this project, we will dissect the triggering mechanisms of structural transition from alpha-helix to beta-sheets in spider silk proteins (spidroins). The project will include investigations of the thermodynamical and kinetic principles of alpha-helix to beta-sheet transitions of proteins as function of pH and ionic strength. A major part concerns how interfaces trigger structural switches in proteins. This will be studied by vibrational sum frequency generation spectroscopy. The postdoctoral fellow is expected to have a leading role in the project and take the responsibility for running and further developing it. The position provides great opportunities for an ambitious researcher to develop skills within state-of-the-art biophysical methods such as vibrational sum frequency generation spectroscopy and NMR. The project is a collaboration between the research groups of Christofer Lendel (more information can be found here), My Hedhammar (more information can be found here), and Eric Tyrode (more information can be found here). Qualifications Requirements A doctoral degree or an equivalent foreign degree in a relevant subject area, e.g. (bio)physical chemistry, biotechnology or structural biology. This eligibility requirement must be met no later than the time the employment decision is made. Demonstrated scientific skill in the form of publications in journals. High degree of independence in the design and implementation of research. Good ability to collaborate within a research group. Significant practical experience of laboratory work using techniques that are relevant for the project. Good ability to express oneself orally and in writing in English as it is required in day to day work. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience of laboratory work with structural characterization of proteins. Practical experience with vibrational sum frequency generation spectroscopy. Well-documented skills in scientific writing. Experience of teaching or training students in laboratory work. Awareness of diversity and equal opportunity issues, with specific focus on gender equality Great emphasis will be placed on personal skills. 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. Trade union representatives Contact information to trade union representatives. 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. Personal letter (containing a description of earlier experiences within the scientific field and a motivation for your interest in this assignment). Contact details to three references. 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. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Application Form

PhD position in AI-driven prediction of antimicrobial mechanisms of action

Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/.The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! At the Department of Life Sciences, we are announcing the positions as DDLS Doctoral student in Data-driven epidemiology and biology of infection. Data driven epidemiology and biology of infection covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health data from pathogen surveillance efforts and biobanks. About us The Department of Life Sciences conducts research, innovation, and education to enable a biobased society and improve human health. We explore how biological systems, and innovative technologies can be used to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the division of Molecular Bioscience, we combine and develop protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology and meet medical challenges. Our joint expertise is strategic and spans from molecular biophysics of single molecules to cell and organism biology. The Doctoral student will be part of the Antibiotic Research Group led by Michaela Wenzel, who will be the main supervisor of the thesis. The student will also be integrated into the Computational Systems Medicine Group led by Annikka Polster, who will serve as co-supervisor. The student will have a genuine computational home in both groups, with senior mentorship in experimental infection biology and in computational medicine. About the research project  In the project Towards a mechanism-aware multi-label prediction framework for antimicrobial peptides, the Doctoral student will use mechanistic data on antimicrobial peptides (AMPs) to connect structure not only to activity but also to function. The core challenge is a data and modelling problem: how do you build a predictive framework when the training labels themselves are systematically wrong? AMPs are potent molecules occurring across all domains of life, with activities ranging from broad-spectrum antibacterial and antibiofilm action to antifungal, antiviral, antiparasitic, and immunomodulatory properties. Their low propensity to generate microbial resistance has made them promising antibiotic alternatives, with several already in clinical use. Yet for decades, AMP mechanisms of action were oversimplified to generic membrane disruption, a picture that has since been shown to misrepresent how most AMPs actually work in living systems. The result is a literature landscape full of mislabelled data that limits the reliability of any data-driven approach built on it. Our team has access to three unique curated datasets combining multi-omics, microscopy, and spectroscopy data, designed specifically to capture the full mechanistic complexity of AMP action on microbial cells. These provide an unusually clean foundation for a genuinely hard machine learning problem: multi-label classification across mechanistically heterogeneous biological classes, where the label space itself must be carefully constructed. The Doctoral student’s work will centre on ontology-informed dataset integration, multi-label model development, systematic benchmarking, and biological validation. The methodological space spans structured data integration, representation learning, and multi-label classification. The primary work is computational. Candidates who wish to engage in experimental validation work will have the opportunity to do so during model validation; it is not a requirement. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master’s degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in a life science or data science-related discipline. Experience in data science, computational biology/medicine, bioinformatics, AI, or related areas Programming skills (if not at the time of application, you must obtain proof of sufficient skills until the start of the project) Strong written and verbal communication skills in English A highly interdisciplinary and collaborative mindset An excellent ability to work and communicate across disciplines *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application:  The ideal candidate has a background in data-driven life science, bioinformatics, AI for science, or another field that brings together computational and life sciences. Candidates with a strong ML or data science background and limited prior bioscience experience are encouraged to apply; the necessary biological knowledge can be acquired through PhD coursework. Candidates without significant computational background will only be considered in exceptional cases. What you will do Develop an integrated mechanistic database through ontology-informed curation and standardisation of multi-omics, microscopy, and spectroscopy data Design, develop, benchmark, and validate AI models for multi-label prediction of AMP mechanisms of action Take courses at an advanced level within the Graduate school of Bioscience and the DDLS research school Develop your own scientific concepts and communicate the results of your research verbally and in writing The position generally also includes teaching on Chalmers’ undergraduate level or performing other duties corresponding to 20 percent of working hours Contract terms  The Doctoral student positions are fully funded from the start. The position is a fixed-term appointment of four years,

Position of Assistant Professor in Sustainable bioproduction of Advanced Therapy Medicinal Products

Subject field Sustainable bioproduction of Advanced Therapy Medicinal Products (ATMP). Subject description The subject covers the production of biologics with a particular focus on advanced therapies such as cell and gene therapies. The subject focuses on addressing the manufacturing bottlenecks that currently hinder the access and large-scale application of such therapies, thereby facilitating broader clinical and commercial applications of these biologics. Addressing these challenges requires innovative sustainable solutions in bioprocesses, as well as interdisciplinary approaches, including real-time monitoring and control, data-driven and mechanistic modeling, automation and/or omics-based characterization. Duties The assistant professor is expected to establish and lead their own research group in Sustainable Bioproduction of ATMPs that can complement and collaborate with existing research groups at the School of Chemistry, Biotechnology and Health (CBH) at KTH. The assistant professor is expected to take advantage of the rapid development in the field and help KTH realize its potential, as well as further develop the area for KTH, Sweden, and the EU. This includes initiating new research projects, securing research funding, teaching, establishing collaborations, educating and supervising students and early-career researchers at the master’s, doctoral, and postdoctoral levels, managing the group’s finances, and maintaining a safe, stimulating, and healthy work environment. The assistant professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Swedish Higher Education Ordinance). Following application, the assistant professor can apply for promotion to associate professor in accordance with Chapter 4, Section 12 c of the Higher Education Ordinance. Eligibility An individual who has completed a doctorate or equivalent scientific competence is qualified for appointment as an assistant professor. Candidates who met those qualifications a maximum of seven years before the deadline for applying for the appointment as an assistant professor has expired should be prioritized. Other candidates may also be considered if there are special reasons. Special reasons’ refers to absence due to illness, parental leave or other similar circumstances. Assessment criteria The assessment criteria for appointment as an assistant professor at KTH are stated in KTH’s appointments procedure section 1.3, and apply in relation to the employment profile laid down. Of highest importance is that the applicant has potential to qualify for a higher teaching post. This includes the potential for independent development as a researcher and teacher within the subject field in question and also the ability to establish, review and develop the research area in question. scientific expertise demonstrated through scientific publications, conference attendance, attendance of research cooperation and also other undertakings in the scientific community such as assignments as a reviewer or expert. Of second highest importance is that the applicant has an interest in and understanding of pedagogical development within the subject field in question. It is also important that the applicant has interest in and insights concerning leadership in academia, collaboration with the outside community, and awareness of diversity and equal opportunity issues with a particular focus on gender equality. experience from a postdoctoral visit in a research environment other than the university at which the applicant defended their doctoral thesis. In application-oriented areas, experience from research and development work within the industry or other organisations is considered to correspond to a traditional postdoc visit to another university. administrative expertise. Special grounds of assessment for promotion to associate professor When assessing applications for promotion to associate professor, provisions according to Section 1.2.4 of Appointments procedure at KTH will be applied. Ability to teach in Swedish is a merit that is given great importance in the application for promotion. Trade union representatives Contact information to trade union representatives can be found at KTH’s web page. Application Your application should follow KTH’s CV template for employment of teachers. It is the responsibility of the applicant to ensure that the application is complete according to the requirements in the ad and CV template. 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). Log into KTH recruitment system in order to apply to this position. Other Time limitation:The appointment is for an indefinite term, but no more than six years, and may be extended if, due to the teacher’s absence due to sick leave, parental leave or other special grounds, more time is required to reach the objectives of the appointment. However, the total appointment period may not exceed eight years. The appointment is part of the Tenure Track system at KTH and the assistant professor may apply for promotion to tenured associate professor. For more information regarding KTH’s assessment, see Appointments procedure at KTH For information about processing of personal data in the recruitment process please read here. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Guidance on relocating and settling in at KTH and in Sweden. Apply Now

Postdoctoral Fellow position in Virome-wide Serology and Pandemic Preparedness

Job description We are recruiting a highly motivated postdoctoral researcher to lead a project focused on implementing high-throughput, highly multiplexed serological assays for pandemic preparedness. You will contribute to efforts to understand factors that determine viral spread in the Swedish population with an end goal to prevent and ameliorate future pandemics. You will establish the PhIP-seq assay in our lab, from library handling and assay optimization to sequencing and data generation. The work involves molecular biology, including cloning, PCR, next-generation sequencing, and serological assays. A key challenge is to develop a robust, high-throughput workflow enabling population-scale analysis of large cohorts. The project is part of a broader initiative to combine advanced serology with innovative blood self-sampling approaches. You will work in a multidisciplinary research environment at KTH, interacting closely with collaborators in affinity proteomics, epidemiology, and computational biology. This position offers the opportunity to take ownership of a method development project with a strong translational component, contributing to scalable solutions for infectious disease surveillance and pandemic preparedness. 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. Research expertise in molecular biology, immunology, genetics, or a related field. Hands-on experience with molecular biology techniques such as cloning, PCR, sequencing, western blotting, and bacterial culture. Experience with phage display is particularly meritorious. Ability to work independently as well as collaboratively in a multidisciplinary research environment. You should have awareness of diversity and equal opportunity issues, with specific focus on gender equality Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in human immunology and serological analysis. Previous experience in supervision, tutoring, or teaching is considered a merit, although teaching is not a mandatory part of the position. Great emphasis will be placed on personal skills. 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. Trade union representatives Contact information to trade union representatives. 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. Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally 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. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Apply Now

Postdoctoral Fellow position in Microphysiological Systems for Tumor Biology

Job description We are looking for a Postdoctoral fellow with the task of validating and developing  new systems to emulate cancer microenvironments. The fellow will work on multidisciplinary projects collaborating with research groups across KTH, Karolinska Institutet, SciLifeLab, and Karolinska Hospital. The host environment will be the Division of Nanobiotechnology, SciLifeLab, KTH with the group of Professor Anna Herland. The project aim is to simulate the tumor microenvironment at  two levels of complexity: Tumor-stroma interactions to uncover self-reinforcing ligand secretion patterns, which could become the target of novel therapies. This approach will be strongly supported by in silico digital-twin-like models of these interactions. Vascularization of tumor models to enable improved studies of immunotherapies and combinatorial therapies. This approach will be supported with multimodal in vitro and in vivo modeling as well as clinical material. The work includes designing and developing new models and validating existing ones. Your specific duties will include: Design of microphysiological systems and organ-on-chips Fabrication and validation of microphysiological systems and organ-on-chiInteractions Collaborations with computational scientists and cancer biologists Coordination of activities between project partners Supervision of research engineer/master’s student in the projects Qualifications Requirements A doctoral degree or an equivalent foreign degree deemed equivalent to a doctoral degree in bioengineering, biotechnology, microtechnology or other relevant fields. This eligibility requirement must be met no later than the time the employment decision is made. Research expertise with at least 2 peer-review articles published or in advanced manuscript for Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in microsystem and microfluidic design and fabrication Experience in cancer biology projects Teaching and supervision experience Excellent ability to collaborate and cooperate with researchers and industry from different disciplines Excellent ability to work independently Awareness of diversity and equal opportunity issues, with a specific focus on gender equality Excellent communication skills Great emphasis will be placed on personal skills. 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. Trade union representatives Contact information to trade union representatives. 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. Brief motivation why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally 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. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Apply Now

PhD position in AI-driven phylogenetic analysis of cancer evolution

Project description Third-cycle subject: Computer Science The project focuses on developing probabilistic and AI-enhanced Bayesian methods for analyzing tumor DNA as well as circulating tumor DNA (ctDNA). The aim is to determine whether ctDNA signals can be explained by the primary tumor or whether they indicate metastasis. The project combines phylogenetic models with single-cell data and longitudinal blood samples. The work includes developing new inference methods based on deep learning, generative AI, and variational inference. The project is conducted in close collaboration between KTH and Karolinska Institutet, with access to unique data from international cancer studies. We are seeking candidates with a strong background in computer science, mathematics, machine learning, or computational biology. Funding is secured through DDLS research funding. Supervision: Jens lagergren is proposed to supervise the doctoral student. Decisions are made on admission Admission requirements To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree (for example a master’s degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired, in some other way within or outside the country, substantially equivalent knowledge A Master’s degree (or equivalent) in computer science, mathematics, statistics, bioinformatics, or a related field. Strong competence in programming and quantitative methods is required. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in AI, machine learning, Bayesian inference, mathematics, programming, or phylogenetic models is considered meritorious. After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information regarding admission and employment Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years’ time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. As a doctoral student, you are entitled to a workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement. Read more about Doctoral studies (PhD) | KTH | Sweden. Union representatives Contact information for union representatives. Doctoral Student’s network (Students’ union on KTH Royal Institute of Technology) Contact information for PhD chapter. To apply for the position Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified. CV including your relevant professional experience and knowledge, ad references. Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long). Representative publications or technical reports: For longer documents, please provide a summary (abstract) and a web link to the full text. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time). Other information For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant’s consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance. Application Form

Position of Research Assistant to characterize antigen-specific B cell receptor repertoires

Do you want to contribute to top quality medical research? The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts research and teaching within immunology, infection biology, cell biology and cancer. Our key words are multidisciplinary, bridging, national and international collaborations. We are now recruiting a research assistant to work in the group of Professor Gunilla Karlsson Hedestam. Your mission You will work with both wet and dry lab tasks to characterize antigen-specific B cell receptor repertoires. The work will focus on generating high-throughput sequence data and analyzing the results with a range of specialized analysis pipelines developed in the group. The work will also include the isolation of monoclonal antibodies from single B cells using RT-PCR, cloning and production of recombinant antibodies in mammalian cells and functional analysis of such antibodies as well as antibody engineering. Your profile Requirements for the position You have recently completed (or will very soon complete) a Master program in Biomedicine or related topic. You have robust experience working with multiplex PCR, next generation sequencing and standard molecular biology approaches applied to the analysis of adaptive immune receptor genes. Meritous Experience with immune repertoire sequencing and expression of recombinant proteins in mammalian cells is an advantage. You are fluent in both written and spoken English, and you are keen to learn different software tools and use basic programming to analyze biological data. What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site. Location: Solna Application The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. This is a temporary position during 12 months Apply Now

PhD position in malaria immunology and pathogenesis

Do you want to contribute to top quality medical research? To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The Division of Infectious Diseases at the Department of Medicine Solna performs research on a wide range of infectious diseases using clinical, epidemiological and experimental approaches. Anna Färnert’s research group focuses on the clinical and immunological aspects of malaria and other infections. The doctoral student project and the duties of the doctoral student The aim of this PhD project is to increase our understanding of the mechanisms influencing clinical outcomes in malaria infections. The project focuses on identifying immune responses and biomarkers associated with disease severity in malaria. As a PhD student, you will perform all stages of the project, including data and sample collection in close collaboration with the clinic, sample handling, experimental work and data analyses. You will develop original research ideas, plan and perform experimental lab work, analyze data, write scientific articles and present scientific results. What do we offer? A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care. Eligibility requirements for doctoral education In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline. It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education. A) General eligibility requirement You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the advanced/second-cycle/master level, or have acquired substantially equivalent knowledge in some other way in Sweden or abroad.* Follow the instructions on the web page Entry requirements (eligibility) for doctoral education. *If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education. B) Specific eligibility requirement You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you: – Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school. Follow the instructions on the web page English language requirements for doctoral education. Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action. (A) and (B) can only be certified by the documentation requirement for doctoral education. Skills and personal qualities The group is seeking a highly motivated and ambitious PhD student. The candidate must hold a master of science (MSc) or equivalent in a related field. Previous experience in immunology, molecular biology and bioinformatics within malaria or other infections is a merit. Previous experience of performing laboratory analyses is a requirement. Work with human samples in collaboration with healthcare is meritorious. The candidate is expected to be well organized and able to work independently. The project is pursued in an interdisciplinary environment with national and international collaborations with several research groups, and good collaborative skills are a requirement. Fluency in English is mandatory. Proficiency in Swedish is considered a merit. Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application process Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is written in English, but you can also apply in Swedish. Your application must contain the following documents: – A personal letter and a curriculum vitae – Degree projects and previous publications, if any – Any other documentation showing the desirable skills and personal qualities described above – Documents certifying your general eligibility (see A above) – Documents certifying your specific eligibility (see B above) Selection A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis. Karolinska Institutet uses the following bases of assessment: – Documented subject knowledge of relevance to the area of research – Analytical skill – Other documented knowledge or experience that may be relevant to doctoral studies in the subject. All applicants will be informed when the recruitment is completed. Global infections – Research group Anna Färnert County- Stockholms län Country- Sweden Reference number- STÖD 2-1914/2026 Contact- Anna Färnert, anna.farnert@ki.se Published- 04.May.2026 Last application date- 25.May.2026 Apply Now

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