- Simula Research Laboratory
- Research Field
- Computer science » Other
- Researcher Profile
- First Stage Researcher (R1)
- Application Deadline
- Type of Contract
- Job Status
- Hours Per Week
- Is the job funded through the EU Research Framework Programme?
- HE / MSCA
- Is the Job related to staff position within a Research Infrastructure?
Offer Deadline: Tue, 28/02/2022 - 13:00 Europe/Brussels
EU Research Framework Programme: Horizon Europe / MSCA
Organisation: Simula Research Laboratory
Website for additional job details: https://www.simula.no/education/msca
See also https://youtu.be/Q1BWwDi-ygk for a brief presentation of Simula.
- Keywords: robustness of machine learning-based systems, AI trustworthiness
- Supervisor: Dr. Dusica Marijan
- Research interests of the supervisor: My main research interests lie in developing methods for improving the robustness of ML-based systems. ML robustness is an essential requirement of trustworthy AI, and it refers to the ability of ML systems to behave as intended in unexpected situations and environments, for example when exposed to the operating environment or other agents that may interact with the system in an adversarial manner. However, ML models, and specifically neural networks, have been shown to be easily prone to adversarial attacks. Adversarial attacks are the type of attacks that leverage data perturbations, i.e. small changes in input data that cause large changes in the output. Adversarial attacks can target data, invading the privacy of sensitive and proprietary information used or produced by ML systems, or they can expose vulnerabilities in ML models and undermine the security of ML systems. Both types of adversaries are of great concern for using ML in high-risk applications. I have been working on adversarial robustness in the context of autonomous driving. The focus has been on evaluating the adversarial robustness of deep learning in autonomous driving, and vulnerability detection and mitigation in deep learning algorithms for autonomous driving using reinforcement learning.
The Simula MSCA PF Programme aims to support excellent postdoctoral fellows to apply for a Marie-Skƚodowska-Curie Postdoctoral Fellowship grant (MSCA-PF) with Simula as the host institution. The fellowship provides an opportunity to pursue a career in research, establish new collaborations, enjoy the career and personal benefits of mobility to a new research environment and a new country, and establish an independent funding track record. Importantly, the fellowship allows you to launch your career by pursuing your ideas. We invite applications from candidates with an interest in machine learning and AI trustworthiness. The selected candidate will apply to the MSCA PF 2023 call (deadline September 14th 2023) for a 24-month fellowship hosted at Simula with Dr. Marijan as the main supervisor, with an optional 6-month placement within the EU member states at the end of the project period.
Through the Simula MSCA PF Programme, selected candidates will be invited to Oslo (travel, food and accommodation expenses covered) for an in-person workshop in May 2023, where you will receive training in grant writing specific to the MSCA PF call, meet with your potential supervisor to mature your research idea further, and experience Oslo, the capital of Norway. You will receive feedback on your proposal and support in finalising your application from Simula’s external funding team.
How to apply
Please send your CV (maximum 4 pages) and a proposed project description that will complement the research of Dr. Marijan (maximum 2 pages), both in PDF format, to firstname.lastname@example.org by the 28th February 2023. Please mark your application email as “Simula MSCA PF application”.
If you have any questions regarding the programme or the submission, please contact the programme’s responsible persons, Martha Hvoslef-Eide and David Ros at email@example.com.
Please check that you fulfil the eligibility criteria below for MSCA PF before applying to the Simula MSCA PF Programme. If you have questions, please contact us at firstname.lastname@example.org.
- Supported fellows must be in possession of a doctoral degree at the time of the call deadline. Applicants who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree are also eligible to apply.
- At the call deadline, supported researchers must have a maximum of 8 years of full-time equivalent experience in research, measured from the date of award of the doctoral degree. Years of experience outside research and career breaks (e.g. due to parental leave) will not count towards the amount of research experience.
- Recruited researchers must comply with the following mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in Norway for more than 12 months in the 36 months immediately before the call deadline.
- 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 where the working language is English.
- 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.
- Modern office facilities located centrally in Oslo and Bergen.
- Numerous benefits: access to company holiday accommodation, BabyBonus arrangements, sponsored social events, generous equipment budgets (e.g., computer, phone and Internet subscription), subsidized canteen meals, 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 are a priority, and we encourage them to use our flexible work arrangements to help balance their work and home lives efficiently.
About Simula and Norway
Simula is a publicly-owned research lab. Simula comprises three research entities: Simula Research Laboratory (SRL) and Simula Metropolitan Center for Digital Engineering (SimulaMet), both located in Oslo, and Simula UiB, located in Bergen, Norway. Simula conducts Information and Communication Technology (ICT) research in the fields of scientific computing, software engineering, communication systems, machine learning and cybersecurity.
Simula's main objective is to create knowledge about fundamental scientific challenges that are of genuine value to 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. The most recent in-depth evaluation was published in 2017, grading the full range of research at Simula as “excellent”.
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.
Simula has a close collaboration with leading universities in Norway and abroad, in terms of both research and education, and facilitates extended research stays abroad.
Norway is famous for its outdoor scenery, with gorgeous fjords, waterfalls and 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 welfare state, such as social security and universal public healthcare.
Learn more about Norway: Official travel guide to Norway
Please note that the selection of participants to the Simula MSCA PF Programme will be made according to the act relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and any attachments are considered to be in conflict with the export control regulations will not qualify.
Simula Research Laboratory uses security management consultancy Semac´s background check in our recruitment process.
- Research Field
- Computer science » Other
- Education Level
- PhD or equivalent
- Number of offers available
- Simula Research Laboratory
Where to apply