PhD student in Computer Science
Mälardalens Universitet / Högskolejobb / Västerås
2025-02-19
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Employment: Temporary employment
Scope: Full time
Number of positions: 1
Closing date for application: Ange sista ansökningsdag
Campus location: Västerås
School: School of Innovation, Design and Engineering, (IDT)
Eligibility
Access to third-cycle courses and study programmes at a higher education education as well as basic eligibility requirements and assessment criteria, are regulated in the Higher Education Ordinance chapter 7 §§ 34-41(SFS 1993:100). More information about third-cycle studies at MDU
A full-time employment as a doctoral student is attached to this third-cycle studies which corresponds to four years.
Position description
The PhD position is expected to join an EU-ITEA funded project MONA LISA, with several industrial partners from Sweden. Based on the needs of our industrial partner, the work will investigate the application of large language models (LLMs). This includes investigating the associated setup of a knowledge base and other optimizations, in an industrial setting. The aim is to easily retrieve and access relevant information/documentation and to provide useful decision-support. This means having a LLM based solution that can offer support to an engineer looking for relevant information, such as analysis of repair reports to offer efficient repair resolution strategies. An LLM-based approach can help find patterns, visualize them for early issue resolution.
The PhD student will undertake the following major tasks:
• Analyze industrial needs to set up a customized LLM-based solution.
• Investigate mechanisms to improve the setup and efficiency of such a solution.
• Conduct thorough scientific evaluations (through e.g. experiments and case studies) of the pros and cons of the solution.
The PhD student is expected to have 20% of the time teaching and 80% on research. However, in initial years, research can get extended up to 100%.
Qualifications
For basic eligibility, the following is required:
• A degree at an advanced level.
• At least 240 higher education credits, of which at least 60 are at an advanced level.
• Equivalent knowledge acquired in Sweden or abroad through other means.
For eligibility to be admitted to doctoral education in computer science, the specific eligibility requirements state that the doctoral student must hold a master's degree (240 higher education credits) in computer science, software engineering, systems engineering or equivalent.
Assessment criteria
Prior to employment, consideration must be given to the ability to assimilate third-cycle courses and study programmes at a higher education. In addition to these skills, particular attention will be paid to the following knowledge and experience:
• Knowledge of or experience in software industry.
• Experience in working with industrial applications.
• Experience of collaboration with individuals in various roles and environments, particularly with industry partners in industrial settings.
• Strong background in Computer Science
• Good knowledge of machine learning, artificial intelligence and generative AI
• Strong programming skills (e.g. Python, C/C++, etc)
• Proficient written and oral communication in English
In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect, take responsibility for the organisation and their own work duties and contribute to a positive work environment. Great emphasis will be placed on the assessment of the following personal qualities and abilities:
• Ability to independently drive, plan, and conduct doctoral studies both individually and in collaboration with others, both within and outside academia.
• Ability to communicate and collaborate with others both within academia and industry.
• Ability to identify industrial needs and transfer research results to demonstrators, industrial applications, and for use in education.
We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.
Application
Application is made online. Make your application by clicking the "Apply" button below.
The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.
We look forward to receiving your application.
Union representatives:
Saco-S
saco-s@mdu.seSusanne Meijer ST-OFR/S, tel: 021-10 14 89
We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.
Ersättning Månadslön
Så ansöker du Sista dag att ansöka är 2025-04-02
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Mälardalens Universitet (org.nr 202100-2916),
http://www.mdu.se Arbetsplats Mälardalens universitet
Jobbnummer 9175599