Universitetet I Bergen

Bergen

<h2>UiB - Knowledge that shapes society</h2><p>Through robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and attitudes.</p><p>Do you want to take part in shaping the future?</p>. Video: https://youtu.be/i4SDcLir6Oc<br /><h2>Postdoctoral Research Fellow position</h2><p>At the Department of Information Science and Media Studies, there is a vacancy for a postdoctoral research fellow position within Intelligent Information Systems and/or Media Studies. The position is associated with artificial intelligence research in the department&#39;s research groups and is funded by the Faculty of Social Sciences. The position is for three years.</p><p>The position is open to an incoming candidate (researchers new to Norway or who have resided in Norway less than a year), see <a href="https://www.uib.no/en/leadai/168982/lead-ai-and-msca-mobility-rules" rel="nofollow">LEAD AI mobility rules</a>.</p><br /><h2>About the project/work tasks:</h2><p><strong>About the host research group and research theme</strong></p><ul><li>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 <a href="https://www.uib.no/en/infomedia/102434/research-groups-and-networks" rel="nofollow">https://www.uib.no/en/infomedia/102434/research-groups-and-networks</a>.</li><li>The postdoc will also be associated with the interdisciplinary LEAD AI project at UiB, funded by The European Research Council.</li><li>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 <a href="https://www.uib.no/infomedia/ai" rel="nofollow">https://www.uib.no/infomedia/ai</a></li><li>Applicants are required to familiarize themselves with the research profile of at least one of the <a href="https://www.uib.no/en/infomedia/102434/research-groups-and-networks" rel="nofollow">InfoMedia research groups</a></li></ul><p> </p><p><strong>About the LEAD AI fellowship programme</strong></p><p>LEAD AI is the University of Bergen&#39;s career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence. The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie SkłodowskaCurie Grant Agreement No. 101126560.</p><p>The Lead AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of artificial intelligence supported by a dedicated supervision and mentoring, encouraging inter-sectoral exposure, in particular:</p><ul><li>academic freedom benefits from knowledge and skills transfer between disciplines, </li><li>organisations and sectors structured skill-based training </li><li>high-quality working conditions </li><li>personal career support equal opportunities</li></ul><p>For more information see the <a href="https://www.uib.no/en/leadai" rel="nofollow">LEAD AI webpage</a> or send an email to leadai&#64;uib.no</p><br /><h2>Qualifications and personal qualities:</h2><ul><li>Applicants must hold a Norwegian PhD or an equivalent degree within computer and/or information science, media studies or an AI related field. </li><li>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.</li><li>The LEAD AI <a href="https://www.uib.no/en/leadai/168982/lead-ai-and-msca-mobility-rules" rel="nofollow">mobility rules</a> must be followed.</li><li>Applicant should have a genuine interest in AI, and the research proposal must be related both to artificial intelligence and ongoing research in the Infomedia department. </li><li>Experience with AI-related research and/or innovation is an advantage.</li><li>Demonstrated interest in societal aspects of artificial intelligence and information systems, such as reliability, responsibility, trust, and ethical and legal issues is an advantage.</li><li>Applicants must be able to work independently and in a structured manner, and have the ability to cooperate with others.</li><li>Applicants must have excellent skills in oral and written English (self-assessed in the CV and demonstrated in the application).</li><li>The application and relevant documents must be in English.</li><li>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.</li></ul><p>Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.</p><p> </p><p><strong>Special requirements for the position</strong></p><p>The University of Bergen is subjected to the regulation for <a href="https://www.regjeringen.no/en/topics/foreign-affairs/export-control/id754301/" rel="nofollow">export control system.</a> The regulation will be applied in the processing of the applications. </p><br /><h2>About the position of postdoctoral research fellow:</h2><p>The postdoctoral position is a fixed term position with the primary objective of qualifying the appointee for work in top academic positions. The fixed term period for this position is 3 years.</p><p>It is a requirement that the project is completed in the course of the period of employment.</p> <p>For all LEAD AI fellows, a Personal Career Development Plan (PCDP) is to be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3 of the fellowship, including a plan for the individual research budget, and information on additional funding where applicable.</p><br /><h2>We can offer:</h2><ul><li>An engaged and professionally challenging working environment within a dynamic and inclusive research groups</li><li>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.</li><li>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**.</li><li>Extension of the position term (work contract) due to sick leave and parental leave.</li><li>Norwegian language courses free of charge.</li><li>High standards for working hours, holidays, place of work, health, and safety</li><li>Access to specific training activities exclusively provided within the framework of the LEAD AI program</li></ul><p>*) Subject to membership in the <a href="https://www.nav.no/en/home/rules-and-regulations/membership-of-the-national-insurance-scheme" rel="nofollow">Norwegian National Insurance Scheme.</a> For non-EU outgoing fellows, individual benefit agreement must be considered.</p><p>**) Right to paid parental leave requires 6 months paid work before first day of leave. <a href="https://www.nav.no/tjenester/en" rel="nofollow">See full requirements.</a></p><br /><h2>How to apply:</h2><p>Before starting the online application process, please familiarise yourself carefully with our application requirements in the <a href="https://www.uib.no/en/leadai/168605/guide-applicants-lead-ai-fellowships" rel="nofollow">Guide for Applicants </a>and <a href="https://www.uib.no/en/node/169250/" rel="nofollow">Application templates</a>. It is essential that all required attachments (see next section) are uploaded via our electronic recruiting system JobbNorge. Before uploading any documents in the portal (to minimise repetition of information):</p><ul><li>In the ‘JobbNorge-application field’: Only write your name.</li><li>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.</li><li><strong>You do not need to fill in any other sections in the JobbNorge form</strong>, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section.</li></ul><p> </p><p><strong>Your application must include:</strong></p><ul><li>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. </li><li>A motivation letter.</li><li>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)</li><li>Mobility declaration with supporting documentation (e.g., employment contract, rental agreement. etc.).</li><li>Table of potential ethics and security issues that might apply to the research proposal (self-assessment).</li><li>An initial self-assessment of opportunities for mandatory and recommended open science practices.</li><li>External host declaration (for outgoing candidates only). </li><li>Scanned copy of the PhD diploma or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted).</li><li>References. Letters of recommendation from the graduating university or previous employers are encouraged.</li></ul><p>The application and attachements with certified translations into English must be uploaded to JobbNorge </p><br /><h2>Evaluation</h2><p>We anticipate the whole evaluation procedure to take approximately 4 months from application deadline. Eligible applicants will be evaluated by three internationally renowned experts and assessed against criteria addressing excellence, impact, implementation, quality of the researcher and training, knowledge transfer . Details are stated in the <a href="https://www.uib.no/en/leadai/168605/guide-applicants-lead-ai-fellowships" rel="nofollow">Guide for applicants</a>.</p><br /><h2>General information:</h2><p><strong>For further details about the position, please contact:</strong></p><p>Professor Marija Slavkovik, Department of Information Science and Media Studies, marija.slavkovik&#64;uib.no.</p><p>For HR related questions contact: Advisor Pernille Hole, Faculty of Social Sciences, pernille.hole&#64;uib.no.</p><p>The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. Age and gender balance among employees is therefore a goal. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.</p><p>We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply.</p> <p>The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.</p><p>Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.</p><p>Further information about our employment process can be found <a href="https://www.uib.no/en/hr/74459/appointment-process" rel="nofollow">here.</a></p><br />

Lead AI postdoctoral research fellow position in Information Science and/or Media Studies