Doktorand inom djupinlärning för biologiska system

## Job Title Doktorand inom djupinlärning för biologiska system ## Project Description The Department of Decision and Control Systems (DCS) at KTH is seeking a PhD student with a strong background in machine learning, mathematics, and modeling, as well as an interest in biological systems. The successful candidate will join a project aimed at understanding and modeling cell-cell interactions to disrupt cancer-promoting equilibrium states. We intend to develop in silico and in vitro models and tools to build and validate digital twins of such interactions, with the goal of steering cellular systems toward healthier states and transforming drug development to reduce trial-and-error and accelerate the transfer of discoveries to clinical applications. DCS conducts fundamental research in machine learning, control systems, and system identification, in collaboration with AstraZeneca, SciLifeLab, and Karolinska Institutet. We also collaborate with researchers at Caltech, MIT, UC Berkeley, and Stanford. This project will be carried out in collaboration with Professor Avlant Nilsson's research group, focusing on promoting precision medicine through models of cancer cells. For more information, see https://www.kth.se/sv/is/dcs. **Supervision:** Prof. Matthieu Barreau, Alexandre Proutiere, Anna Herland, and Avlant Nilsson are proposed to supervise the PhD student. The decision is made upon admission. ## Responsibilities * Understand and model cell-cell interactions to disrupt cancer-promoting equilibrium states. * Develop in silico and in vitro models and tools. * Build and validate digital twins of cellular interactions. * Steer cellular systems toward healthier states. * Contribute to transforming drug development by reducing trial-and-error and accelerating the transfer of discoveries to clinical applications. * Conduct research independently and drive work forward. * Collaborate with other researchers. * Analyze and work with complex questions. * Communicate research results effectively. ## Requirements * **Basic Eligibility:** * Completed an advanced-level degree, OR * Completed course requirements of at least 240 higher education credits, of which at least 60 credits at advanced level, OR * Acquired substantially equivalent knowledge in another way within or outside the country. * **Subject-Specific Eligibility:** * At least 120 higher education credits at advanced level or higher in electrical engineering or closely related relevant subjects (e.g., computer science, mathematics, mechanical engineering). Equivalent knowledge acquired in another way within a relevant research area may also be accepted. * **Language:** * Mandatory requirement for English corresponding to English B/6. * **Personal Attributes:** * Goal-oriented and persistent in work. * Ability to work independently. * Ability to collaborate with others. * Professional attitude. * Ability to analyze and work with complex issues. ## Nice to Have * Interest in or previous experience with biological systems. * Documented ability to conduct research and communicate results effectively. * Experience with deep learning models. * Previous specialization in machine learning, control theory, or mathematics (highly desirable and particularly meritorious). * Strong academic results and completed courses. ## Benefits * Part of KTH's employment benefits. * Monthly salary according to KTH's agreement for PhD salaries. * Opportunity to grow and develop in a creative and dynamic workplace with good working conditions. * Equality, diversity, and equal opportunities are a quality issue and a natural part of KTH's values. * Collaboration with leading international institutions (AstraZeneca, SciLifeLab, Karolinska Institutet, Caltech, MIT, UC Berkeley, Stanford). ## Application Process * Apply via KTH's recruitment system. * **Application Content:** * Copies of degree certificates and transcripts from previous university studies and certificates of fulfilled language requirements. Translations to English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified. * CV with relevant professional experience and knowledge. * Cover letter with a brief description of why you want to pursue doctoral studies, your academic interests, and how they relate to your previous studies and future goals (Max 2 pages). * Representative publications or technical reports. For longer documents, attach an abstract and a web link to the full text. * Contact details for at least three referees. * **Deadline:** The application must reach KTH by the last application day at midnight, CET/CEST. ## Additional Information * **Security Clearance:** It may occur that an employment at KTH is placed in a security class. If this is the case for this employment, a security check of the applicant will be carried out in accordance with the Security Protection Act (2018:58) after consent. In these cases, a prerequisite for employment is that the applicant is approved after the security check. * **Employment Terms:** Only those admitted to doctoral education can be employed as PhD students. The total employment period may not be longer than what corresponds to full-time doctoral education for four years. An employed PhD student can perform certain tasks within education and administration to a limited extent (max 20%). A new employment as a PhD student is valid for a maximum of one year, after which the employment can be renewed for a maximum of two years at a time. * **Contact:** We decline direct contact with staffing and recruitment companies as well as sellers of job ads.