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The vacancy is for a PhD Research Fellow in Informatics – Cryptology at the Department of Informatics, financed by the University of Bergen. This position offers a fixed-term employment of 3 years, extendable to a potential 4th year with compulsory additional duties such as teaching. The selected candidate must commence the role no later than September 30th, 2024.

• Applicants should possess a master’s degree or equivalent education in mathematics, computer science, or a related field, or have submitted their master’s thesis for assessment before March 1st, 2024. Awarded master’s degree is a prerequisite for employment.
• Proficiency in general-purpose programming languages is essential.
• A foundational understanding of discrete mathematics and linear algebra is required.
• Basic knowledge of cryptographic schemes, protocols, Boolean functions, or closely related fields is necessary.
• Familiarity with programming languages such as C and Magma is advantageous.
• Experience in cryptography, finite field theory, and abstract algebra is considered a plus.
• Candidates must demonstrate the ability to work independently, follow structured methodologies, and exhibit strong collaborative skills.
• Proficiency in both written and spoken English is essential.
• Emphasis is placed on personal and interpersonal qualities, with a focus on ambition and potential.

Special Position Requirements: The University of Bergen adheres to export control system regulations, which will be applicable during the application review process.

These PhD positions in Algorithms, Logic, and AI at the University of Bergen offer exciting research opportunities in the field of Trustworthy AI. Here are some key details and requirements for the positions:

1. Duration: The positions are for a fixed-term period of 3 years, with the possibility of extending to a 4th year, which may involve teaching duties at the Department.
2. Start Date: Successful candidates must be available to start the position no later than September 30th, 2024.
3. Project and Work Tasks: The positions are part of the “Algorithmic Foundations of Trustworthy AI” project, which is a collaborative effort between the Department of Informatics and the Department of Information Science and Media Studies. The research focuses on developing novel theories related to socially aware algorithms, reconciling social parameters with algorithmic efficiency, and creating formal social models. This research sits at the intersection of AI, Algorithms, Logic, and Social Sciences.

• Applicants should have a master’s degree or equivalent education in Computer Science or Mathematics. Master’s students can apply, but they must complete their final master’s exams before June 25th, 2024.
• Research experience with documented publications in top conferences in Theoretical Computer Science (e.g., FOCS, STOC, SODA, ICALP, LICS) or AI (e.g., AAAI, IJCAI) is highly advantageous.
• Strong ability to work independently and in a structured manner, along with good collaborative skills.
• Proficiency in both written and oral English is required.
• Personal qualities, relational skills, ambitions, and potential will also be considered during the evaluation of candidates.

They currently have a vacant 100% PhD fellow position within the Department of Information Science and Media Studies at the University of Bergen. This PhD opportunity is focused on the field of Media Production and Digital Storytelling, with a fellowship duration of 4 years, ultimately leading to a PhD degree for the successful candidate.

This position is affiliated with the Research Group for Computer Games and Virtual Environments, a cross-disciplinary research group examining the social and cultural aspects of digitally generated and technologically mediated spaces. These spaces encompass interactive and immersive technologies, such as computer games and extended realities. The research group investigates sociocultural aspects, user practices, and the characteristics of these environments. The PhD candidate will be based at the Center of Excellence in Digital Narrative (CDN), a leading research center funded by the Research Council of Norway. CDN explores emerging forms of digital narrative and their evolving cultural contexts, offering opportunities to collaborate with various research projects.

The primary objective of this PhD position is to advance research on digital narratives. Applicants are required to propose a PhD project rooted in moving image production, which investigates emerging digital narrative forms or technologies, including virtual reality, augmented reality, AI-based video production, virtual cinematography, game-based storytelling, interactive art, and more. The project should explore the intersection between linear narrative forms (e.g., filmmaking) and interactivity, potentially spanning fiction, documentary, hybrid forms, or experimental approaches to digital storytelling. The candidate is expected to design and develop prototypes or artistic works that incorporate and explore digital narrative as a vital part of their research.

• Hold a Master’s degree in fields such as media production, interaction design, digital culture, visual arts, game design, or related disciplines.
• Submission of the Master’s thesis is mandatory before the application deadline.
• Achieve a grade of B or higher for the Master’s thesis and the overall Master’s degree.
• Possess media production skills to contribute effectively to teaching related to visual storytelling and video production techniques within the Bachelor’s program in Film and Television Production.
• Demonstrated ability to work independently, with strong organizational skills, and a collaborative mindset.
• Exhibit enthusiasm for research and emphasize personal and interpersonal qualities.
• Evaluation will consider the candidate’s ambitions and potential.
• The workplace for this position is located in Bergen. Shortlisted candidates will be invited to participate in an interview.

The Department of Foreign Languages at the University of Bergen offers a four-year PhD position starting August 1st, 2024. The department, covering nine languages and various areas like linguistics and cultural studies, seeks candidates for research groups focusing on European Borders and East Slavic languages. Preference is given to projects in German studies for European Borders and Ukrainian studies for East Slavic languages.

Candidates must possess a master’s degree (Norwegian or equivalent foreign degree) in a relevant field for the PhD project. For applicants without a Norwegian degree, evaluation will follow guidelines from the Norwegian Agency for Quality Assurance in Education (NOKUT) and The Faculty of Humanities´ PhD programme plan. The degree must be awarded before applying.

Key qualities sought in candidates include the ability to work independently, structured approach, and strong cooperative skills. Applications will be evaluated based on the quality and feasibility of the proposed project, the progress plan, and the applicant’s academic background. In cases of similar qualifications, strategic considerations, along with the applicant’s motivation and personal suitability, will play a role in the selection process.

The Department of Foreign Languages at a prestigious institution is seeking candidates for a PhD Research Fellowship in foreign language didactics, starting from August 1, 2024, or as mutually agreed. This is a fixed-term position for four years. The department, which covers nine languages including Arabic, Chinese, English, French, German, Italian, Japanese, Russian, and Spanish, along with Latin-American Studies, is recognized for its contributions in language/linguistics, literature, cultural studies, and didactics. It boasts around 60 permanent academic staff, approximately 20 PhD and postdoctoral fellows, and eleven administrative staff members. The available position aligns with the department’s emphasis on research groups, specifically within the Multilingualism on My Mind (MOMM) or Post-Truth English Teaching (POTENT) research groups.

Candidates for this fellowship must possess a master’s degree from Norway or an equivalent degree from abroad in a discipline relevant to the PhD project. The master’s degree must be awarded by the application deadline. Those with non-Norwegian degrees will be assessed based on NOKUT and The Faculty of Humanities´ PhD program guidelines. Key attributes include the ability to work independently, structured work habits, and strong cooperative skills. Applications will be evaluated on the basis of adherence to The Faculty of Humanities’ PhD Program criteria. Selection will prioritize project quality, the project’s progress plan, and the candidate’s academic qualifications. In instances of equally qualified applicants, strategic considerations, along with the candidate’s motivation and personal suitability, will be factored into the final decision.

This is a three-year, full-time position at the Faculty of Medicine, Department of Global Public Health and Primary Care. The role is integral to the ERC-funded “5-D” project, which focuses on developing digital tools to recognize end-of-life signs in dementia patients. The fellow will join SEFAS, an innovative research group involved in studies related to elderly care and neurological conditions.

Qualifications and Personal Attributes:

1. Educational Background: Candidates must hold a Norwegian PhD or equivalent in a medically-oriented field (e.g., medicine, nursing, nutrition, pharmacy, physiotherapy) or have submitted their doctoral thesis by the application deadline. Award of the PhD is required within five months post-application deadline.
2. Experience: Prior experience with older adults in various settings (home, nursing homes, hospitals) is mandatory. Experience with sensor technology is a valuable asset.
3. Language Skills: Proficiency in both Norwegian and English (written and oral) is mandatory.
4. Research and Analysis Skills: The fellow will engage in data collection and quantitative analysis, employing both traditional statistical techniques and advanced methods like signal processing, modelling, dynamic systems, and artificial intelligence.
5. Teamwork and Supervision: The role involves active participation in interdisciplinary teams and the supervision process of PhD candidates, either as a main or co-supervisor.
6. Personal Qualities: Candidates should demonstrate the ability to work independently, structured cooperation with others, motivation, responsibility, high work capacity, and a passion for research. These personal attributes will be heavily weighted in the candidate selection process.

Applicants will be ranked based on their qualifications’ relevance to SEFAS’ current needs, strategic goals, and areas prioritized for future development.

The University of Bergen offers a 3-year Postdoctoral Research Fellow role in climate prediction modeling with machine learning at the Geophysical Institute, affiliated with the Bjerknes Centre for Climate Research. The role contributes to the Norwegian Research-funded Climate Futures and the EU Horizon Europe project Impetus for Change (I4C), focusing on improving climate prediction at local and regional scales.

The Fellow will develop machine learning emulators for high-resolution climate models, aiding in translating broad climate predictions into detailed local data. Collaboration with international project members and a focus on enhancing machine learning models for climate prediction are key responsibilities.

Educational Background and Skills:

• A PhD (or equivalent) in atmospheric science, statistics, machine learning, applied mathematics, or a related field. Candidates who have submitted their doctoral thesis are also eligible, provided their PhD is awarded before employment.
• Demonstrated expertise in climate/atmospheric physics and machine learning.
• Proficient in scientific programming (Python, R, Matlab, Julia, C/C++, or similar).

Experience:

• A track record of peer-reviewed publications in international journals and presentations at international conferences.
• Prior experience with climate models and climatological data analysis will be advantageous.

Language and Personal Skills:

• Excellent command of the English language, both written and oral.
• Ability to work independently, in a structured manner, and cooperatively with a team.
• Strong interpersonal and relational skills are crucial.

Additional Requirements:

• Candidates must be aware of and comply with the University of Bergen’s regulations on export control systems during the application process.

This position offers an opportunity to work in a highly international environment within one of the leading climate research centers in Europe, offering numerous opportunities for professional development and collaboration with industry and academic partners.

The Faculty of Medicine, Department of Clinical Science, announces the availability of a three-year, full-time postdoctoral research fellow position. This role is a key component of the “System dynamics approach Using Chemical Compounds to Elucidate the Structure of Polycystic Ovarian Syndrome (SUCCESS)” project, funded by the Novo Nordisk Foundation.

Key responsibilities include:

• Reprogramming patient fibroblasts into induced pluripotent stem cells (iPSCs).
• Directing the differentiation of iPSCs into endocrine cell lineages and organoids.
• Conducting gene editing and characterizing iPSC-based models using various techniques.
• Assisting in the collection of clinical information and biobank material.

Applicants must meet the following criteria:

• Possession of a Norwegian PhD or equivalent degree in Life Sciences, or have submitted a doctoral thesis before the application deadline.
• Award of the PhD is mandatory within 5 months post-application closing date.
• Demonstrated experience in stem cell biology methods.
• Preference for candidates with prior experience in organoids and/or chemical perturbation of stem cell models.
• Strong previous scientific achievements will be highly regarded.
• Personal skills are crucial, including independence, teamwork capability, high work capacity, and a strong enthusiasm for research.
• Proficiency in both written and oral English is essential.