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PhD Student Position (m/f/d) in Temporal & Multi-Modal Data Mining
Simula Metropolitan, Center for Digital Engineering
PhD Student Position in Temporal & Multi-Modal Data Mining
Simula's mission is to solve important and fundamental problems of science and engineering, with the main goal of benefiting and advancing society. We do this by concentrating on five select research areas in ICT and performing excellent research, by developing our people, and by spinning out applicable results into profitable startups. In short, “we hire the best people, those who are personally driven to push boundaries and innovate - and then we give them the tools, space and freedom to do just that.” (CEO, Prof. Aslak Tveito)
To understand the functioning of complex systems such as the brain or human metabolome, there is an emerging need to jointly analyze heterogeneous data sets from multiple sources, and capture the underlying patterns. Such multi-modal data sets have the potential to provide a deeper insight into the system of interest when analyzed together. Some of these data sets are static while some are time-evolving. We focus on developing multi-modal data mining methods to jointly analyze data from multiple sources and capture interpretable patterns with the ultimate goal of improving our understanding of complex systems. The topic of the PhD research will lie at the intersection of temporal data mining, matrix/tensor factorizations, graph mining and temporal link prediction. The position requires both methodological developments (model formulation, algorithmic advances) and the use of developed methods in applications. The primary application domain will be the analysis of dynamic metabolomics data jointly with other omics data sets. See Tracer project for more details. In our group, there are also other members (applied mathematicians and computer scientists) working on closely related topics with applications in neuroimaging data analysis and personalized cancer screening.
We consider interested candidates who have a BS and MS degree in computer science, data science/machine learning, signal processing, and applied mathematics. Other required qualifications include
strong background in at least one (or preferably more) of the following topics: numerical linear algebra, optimization, and data mining, proved by top grades,
ability to carry out interdisciplinary research, and strong interest in dealing with the challenges of real data,
fluency in MATLAB and/or Python with a well-established background in programming, proved by relevant programming courses,
an average GPA of at least B in BS and MS,
previous experience with low-rank approximations is a plus.
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. We strive to achieve a good balance between male and female employees, and women are particularly encouraged to apply.
Excellent opportunities for performing high quality research, as part of a highly competent and motivated team of international researchers and engineers.
An informal and inclusive international working environment.
Generous support for travel and opportunities to build international networks, through established collaboration with industry, exchange programs and research visits with other universities, and funding to attend conferences.
High-standard facilities and offices located in Oslo.
Numerous benefits: access to company cabin, BabyBonus arrangements, sponsored social events, generous equipment budgets (e.g., computer, phone and subscription), subsidized canteen meals and monthly bus pass, comprehensive travel/health insurance policy, etc.
Relocation assistance: accommodation, visas, complimentary Norwegian language courses, etc.
Administrative research support: e.g., quality assurance process for grant proposals (including RCN and EU programs).
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.
Interested applicants are requested to submit the following:
CV summarizing education, positions and academic or industrial work, scientific publications
A cover letter explaining the candidate's background, qualifications, research interests
Contact information of three references
Applications can only be submitted via our online system, applications submitted by email will not be considered.
Applications deadline: May 25, 2021
Starting date: Flexible, preferably latest September 1, 2021
Applications will be screened continuously and a decision will be made as soon as we find the right candidate.
If there are questions specific to the position, please contact Dr. Evrim Acar (firstname.lastname@example.org)
Simula Metropolitan Center for Digital Engineering uses Semac´s background check in our recruitment process. 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.