&lt;p&gt;&lt;strong&gt;PhD Positions in Multimodal Data Mining and Knowledge-guided Machine Learning&lt;/strong&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;https://www.simulamet.no/research/research-departments/data-science-and-knowledge-discovery&quot;&gt;Data Science and Knowledge Discovery Department (DataSci)&lt;/a&gt; at Simula Metropolitan Center for Digital Engineering (Oslo, Norway) is looking for highly-motivated, self-driven and curious PhD students with a strong numerical linear algebra and machine learning background.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Simula: solving problems, making a difference.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Simula’s mission is to solve important and fundamental problems of science and engineering, with the main goal of improving society. We do this by concentrating on &lt;a href=&quot;https://www.simula.no/research&quot;&gt;five select research areas&lt;/a&gt; in ICT (Information and Communication Technology) and performing excellent research, by developing our people, and by spinning out applicable results into profitable startups.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Learn more about: &lt;a href=&quot;https://www.simula.no/about&quot;&gt;working at Simula&lt;/a&gt; and &lt;a href=&quot;https://www.simula.no/careers&quot;&gt;careers at Simula&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Job Description&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Research activities at DataSci focus on developing data mining/machine learning (ML) methods, in particular, matrix/tensor decompositions, multimodal data mining, knowledge-guided machine learning, temporal data mining, as well as applications of the developed methods in various fields, specifically, in omics and neuroimaging data analysis. DataSci carries out cutting-edge research on interpretable and explainable methods to jointly analyze multimodal longitudinal data sets.&lt;/p&gt;
&lt;p&gt;We are looking for PhD students who will be part of an interdisciplinary research environment with close international collaborators, and is expected to carry out research on one of the following topics:&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Project 1. Explainable Multimodal Learning&lt;/strong&gt; – Data sets from diverse sources are collected in many applications to have a better understanding of complex systems such as the human brain, human metabolome, or to detect early risk factors for various diseases. For instance, to detect early life risk factors of various diseases, multi-omics data sets including genetic, longitudinal metabolomics and microbiome data are collected. Such multimodal data sets are often noisy, incomplete, and multiway (i.e., with more than two axes of variation such as subjects, metabolites, and time). Some data sets change in time (e.g., longitudinal measurements) while some are static. A crucial requirement for ML/data science methods to turn such complex data into knowledge is interpretability. An effective data fusion approach which is explainable and interpretable by design is to learn latent embeddings jointly from multiple data sets via coupled matrix/tensor factorizations. The topic of the PhD research will lie at the intersection of multiview/multimodal learning, representation learning, (coupled) tensor factorizations, temporal data mining and unsupervised/self-supervised learning. The project will focus on developing interpretable multimodal data mining methods that can learn coupling relations from data, identify joint vs. distinct embeddings and incorporate time-aware methods.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Project 2. Knowledge-guided Machine Learning&lt;/strong&gt; – While data-driven approaches have achieved promising results, recently there have been significant efforts to develop knowledge-guided ML (KGML) methods to incorporate prior information with the goal of improving performance in terms of generalizability and explainability, and with much smaller data sizes. KGML methods hold the promise to enhance knowledge discovery in data-scarce domains by guiding real data analysis with clean prior information. A traditional approach to incorporate such prior knowledge in ML has been through constraints or regularization terms added to loss functions. However, constraints/regularization terms are often limited in terms of their expressive power of the domain information such as fundamental principles encapsulated in mechanistic models. The topic of this PhD project will lie at the intersection of multiview/multimodal learning, representation learning, (coupled) tensor factorizations, unsupervised/self-supervised learning as well as knowledge-guided ML. This project will focus on formulating an explainable mathematical framework for mechanistically informed data mining methods.&lt;/p&gt;
&lt;p&gt;Both projects will use the developed methods in impactful applications, e.g., analysis of (longitudinal) omics data sets and relevant meta variables with the goal of better understanding person-specific development of diseases, in collaboration with postdoctoral/senior researchers at DataSci, and our international partners.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;We will consider candidates who have a BS and MS degree &lt;strong&gt;(both) &lt;/strong&gt;in computer science, data science/machine learning, signal processing, and applied mathematics. Other required qualifications include&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;strong background in at least one (or preferably more) of the following topics: numerical linear algebra, numerical optimization, and data mining, proved by top grades,&lt;/li&gt;
&lt;li&gt;fluency in MATLAB and/or Python with a well-established background in programming, proved by relevant programming courses,&lt;/li&gt;
&lt;li&gt;an average GPA of at least &lt;strong&gt;B&lt;/strong&gt; in BS, and &lt;strong&gt;A&lt;/strong&gt; in MS,&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;previous experience with low-rank approximations is a plus, and interest in dealing with the challenges of real data is desired but not required,&lt;/li&gt;
&lt;li&gt;sharing Simula’s core values: respect, ambition, curiosity, and excellence.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;All candidates will also have to demonstrate an excellent level of spoken and written English, possess good interpersonal and communication skills and show willingness to work as part of an international team.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Simula Offers&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Excellent opportunities for performing high-quality research, as part of a highly competent and motivated team of international researchers and engineers,&lt;/li&gt;
&lt;li&gt;An informal and inclusive international working environment,&lt;/li&gt;
&lt;li&gt;Generous support for travel and opportunities to build international networks, through&amp;nbsp; established collaboration with industry, exchange programs and research visits with other universities, and funding to attend conferences,&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li&gt;Modern office facilities located in downtown Oslo,&lt;/li&gt;
&lt;li&gt;A competitive salary. Starting salary from NOK&lt;strong&gt; &lt;/strong&gt;550 800,&lt;/li&gt;
&lt;li&gt;Numerous benefits: access to company cabin, sponsored social events, generous equipment budgets (e.g., computer, phone and subscription), subsidized canteen meals, comprehensive travel/health insurance policy,&lt;/li&gt;
&lt;li&gt;Relocation assistance: accommodation, visas, complimentary Norwegian language courses,&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Administrative research support: e.g., quality assurance process for grant proposals (including RCN and EU programs),&lt;/li&gt;
&lt;li&gt;Wellness and work-life balance. Our employees’ health and well-being is a priority and we encourage them to make use of our flexible work arrangements to help balance their work and home lives efficiently.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Application Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Interested applicants are requested to submit the following:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;CV showing your educational background, working experience (in particular, any relevant academic or industrial work), a list of scientific publications and talks (if applicable),&lt;/li&gt;
&lt;li&gt;Transcripts for both Bachelor and MS degrees,&lt;/li&gt;
&lt;li&gt;Cover letter outlining your motivation for applying, relevant experience and qualifications, research interests and how/why you are qualified for the position,&lt;/li&gt;
&lt;li&gt;Contact information of three references&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Applications can only be submitted via our online application system, applications submitted by email will not be considered.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Contact person:&lt;/strong&gt; Evrim Acar (&lt;a href=&quot;mailto:evrim@simula.no&quot;&gt;evrim@simula.no&lt;/a&gt;)&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Deadline:&lt;/strong&gt; &amp;nbsp;October 15th.&lt;strong&gt; &lt;/strong&gt;Applications will be screened continuously and a decision will be made as soon as we find the right candidate.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About SimulaMet, Simula and Norway&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Simula Research Laboratory AS is a publicly owned research lab located in Oslo, Norway. Simula conducts research in the fields of scientific computing, software engineering, communication systems, machine learning and cybersecurity. Simula Metropolitan Center for Digital Engineering (SimulaMet)&amp;nbsp; is jointly owned by Simula Research Laboratory and Oslo Metropolitan University, and hosts our activities in the fields of communication systems, machine learning and data science, and IT management.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Simula&#39;s main objective is to create knowledge about fundamental scientific challenges that are of genuine value for society. This is achieved through high-quality research, education of graduate students, industry collaboration, technology transfer, and commercialization. Since 2001, scientific evaluations conducted by the Research Council of Norway have repeatedly placed Simula at the forefront of international research in ICT. In 2025, a new evaluation ranked Simula the highest of all Norwegian research institutions regarding impact and publication quality (p14. in &lt;a href=&quot;https://www.forskningsradet.no/siteassets/publikasjoner/2025/evalmit-national-final-250403b.pdf&quot;&gt;National EVALMIT rapport)&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Simula appreciates diversity. We currently employ approximately 200 individuals from 35 countries and strive to create a family-friendly working environment. We are an equal opportunity employer and encourage women to apply.&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Simula has a close collaboration with leading universities in Norway and abroad, both in terms of research and education, and facilitates extended research stays abroad. Our Master&#39;s and PhD students conduct their research at Simula, and attend courses and receive their degrees from university partners. &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Norway is famous for its epic outdoor scenery, with wonderful fjords, gorgeous waterfalls and majestic mountain ranges. Moreover, Norway is a safe and peaceful country with a thriving economy, offering a high standard of living and all the benefits of a social-democratic welfare state, such as social security and universal public healthcare.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Learn more about Norway: &lt;a href=&quot;https://www.visitnorway.com/&quot;&gt;Official travel guide to Norway&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Simula uses Semac’s background check in our recruitment process. Employment for this position will be made according to the&lt;/span&gt;&lt;a href=&quot;https://lovdata.no/dokument/NLE/lov/1987-12-18-93&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; &lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;act relating to Control of the export of strategic goods, Services and Technology&lt;/span&gt;&lt;/a&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;. Candidates who by assessment of the application and any attachments are considered to be in conflict with the export control regulations will not qualify for this position&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;

800803 DataSci OsloMet Recruits

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PhD Positions in Multimodal Learning and Knowledge-guided Machine Learning

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