
Lead AI postdoctoral research fellow position in Information Science and/or Media Studies
- Bergen, Vestland
- kr 657.000 pr år
- Midlertidlig
- Fulltid
- We are looking for an ambitious scholar who wants to advance the field of AI by focusing on and collaborating with one of the ongoing AI research activities in the department, including but not limited to trustworthy and responsible artificial intelligence systems. The postdoc will become part of a dynamic, interdisciplinary, and inclusive team as a member of one of the department’s research groups
- The Department of Information Science and Media Studies conducts interdisciplinary research in artificial intelligence including artificial intelligence foundational research, computer science, computational linguistics, data science, information science, information systems, human computer interaction, as well as media studies, audience studies, journalism, rhetorics, and media aesthetics. More about AI research at InfoMedia can be found
- Applicants are required to familiarize themselves with the research profile of at least one of the
- academic freedom benefits from knowledge and skills transfer between disciplines,
- organisations and sectors structured skill-based training
- high-quality working conditions
- personal career support equal opportunities
- Applicants must hold a Norwegian PhD or an equivalent degree within computer and/or information science, media studies or an AI related field.
- Applicants must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded.
- The LEAD AI
- Experience with AI-related research and/or innovation is an advantage.
- Demonstrated interest in societal aspects of artificial intelligence and information systems, such as reliability, responsibility, trust, and ethical and legal issues is an advantage.
- Applicants must be able to work independently and in a structured manner, and have the ability to cooperate with others.
- Applicants must have excellent skills in oral and written English (self-assessed in the CV and demonstrated in the application).
- The application and relevant documents must be in English.
- Applicants cannot previously have been employed as a postdoctoral fellow at UiB and they cannot be employed by another institution for the time of the fellowship.
- An engaged and professionally challenging working environment within a dynamic and inclusive research groups
- Position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 657 000 upon appointment. Further increases in salary are made according to length of service in the position. A higher salary may be considered for a particularly well-qualified applicant.
- Welfare benefits* and social benefits including pension-saving in the Norwegian Public Service Pension Fund, occupational injury insurance, full salary during sick leave for 52 weeks, and paid parental leave**.
- Extension of the position term (work contract) due to sick leave and parental leave.
- Norwegian language courses free of charge.
- High standards for working hours, holidays, place of work, health, and safety
- Access to specific training activities exclusively provided within the framework of the LEAD AI program
- In the ‘JobbNorge-application field’: Only write your name.
- In the ‘JobbNorge-CV form’: Only fill in your 1) personal details, 2) information about your PhD-degree (in the field ‘Academic qualifications’) and 3) recent relevant work experience.
- You do not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section.
- Research proposal (5 pages, using a template based on the evaluation criteria), must be relevant to the AI-related research themes defined by LEAD AI host research groups in the call. It is essential that you discuss the details of the project idea with your potential UiB supervisor at an early stage in the application process, to ensure that there is a match between resources and expertise needed to implemement the project.
- A motivation letter.
- A CV detailing the full scientific track record, relevant other achievements and career breaks (e.g., parental, and long-term sick leave, compulsory military service, and non-academic work)
- Mobility declaration with supporting documentation (e.g., employment contract, rental agreement. etc.).
- Table of potential ethics and security issues that might apply to the research proposal (self-assessment).
- An initial self-assessment of opportunities for mandatory and recommended open science practices.
- External host declaration (for outgoing candidates only).
- Scanned copy of the PhD diploma or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted).
- References. Letters of recommendation from the graduating university or previous employers are encouraged.