PhD fellowship in Applied Information Technology

13 Mar 2024
Job Information

Organisation/Company

Kristiania University College

Research Field

Technology » Information technology

Researcher Profile

First Stage Researcher (R1)

Country

Norway

Application Deadline

1 Apr 2024 - 23:59 (Europe/Oslo)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

37,5

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Oslo

 

Kristiania University College is offering a fully funded PhD fellowship in Applied Information Technology for a period of three (3) years beginning in January 2024. During this time, the successful applicant will be employed at the school and included in a team of researchers with ambitious plans to further develop research and pedagogical activities at the university college.

 

About Kristiania University College

Kristiania University College is Norway's largest independent comprehensive university college with 18,000 students. Our mission is to strongly contribute to Norway's social and economic development through problem-driven and applied knowledge development and dissemination, in close cooperation with the public and private sectors. Students can choose from a large portfolio of study programmes at the bachelor’s and master’s levels that are offered in Oslo, Bergen and online. Among these are study programmes in management, organization, marketing, communication, computer science, information technology, health sciences, innovation, and creative arts. The two PhD programmes at Kristiania University College offer advanced graduate work in most of these fields. For more information about the PhD programmes, see here: https://www.kristiania.no/en/research/phd/

 

About the position

The PhD position is a three-year fulltime position that involves 30 ECTS credits of required course work. This is equivalent to one semester of study. The remaining time is allocated to the development and completion of an independent research project, which takes the form of a written dissertation. The three-year employment period granted to the successful candidate may be reduced if the successful candidate has previously been employed in a PhD position.

The successful candidate is expected to live and work in the Oslo region during the employment period and to take an active part in scholarly and social activities at Kristiania.

 

About the project

The PhD project is affiliated with the Time-Aware Large Language Models for Time series Analysis project. The artificial intelligence field has been exponentially growing over the past years leading to revolutionary development in different disciplines and industries. Most recently the evolution of Large Language models (LLMs) has taken the centre stage. State-of-the-art LLMs like GPT-3.5 and GPT-4 have demonstrated remarkable performance across a wide range of tasks showcasing their potential for various applications. However, the use of these advanced language models has not been thoroughly investigated in various domains. The project aims to explore the potential of LLMs in new research avenues within time series analysis. The project aims to research LLM time-awareness capabilities with time aware agentic features. The project reaches for exploring and enabling time awareness in LLMs which then can be used to develop more accurate and efficient time series forecasting methods. This could significantly benefit various fields such as healthcare and logistics where precise forecasting plays a key role in decision-making.

The successful candidate must design an independent project that fits with the theme and research questions of the main project. The successful candidate should formulate the project such that it is integral to the development of knowledge within the area addressed by this main project. The successful candidate should also be able to argue that the project will contribute to the success of the main project by answering questions such as:

• Capabilities and limitations of Large Language Models understanding and perception of time.
• Assessment of LLM use in the context of time series analysis.
• Exploring and developing Large Language models that are time-sensitive or can take time into account.
• Design of potential methods for improved time-series analysis using LLM.
• Impact of LLMs on time-series analysis and implementation challenges.

 

Qualifications and personal qualities

Required qualifications:

• Master’s degree (ECTS or equivalent) in Information technology, computer science, data science, informatics with a grade B or better on the master’s thesis and for the master’s degree in total. The master’s thesis must be a minimum of 30 ECTS or equivalent.
• Relevant 180 ECTS bachelor’s degree
• Proficiency in both written and spoken English
• Competence/practical experience with Java and Python. Knowledge in Mathematics and advanced statistics.

 

Desired qualifications:

• Deep learning, transformer architectures, machine learning

 

Personal qualities:

• Curiosity and a strong motivation to carry out independent research
• Good communication and cooperation skills
• Excellent analytical skills
• The ability, desire and capacity to work independently, systematically, and purposefully
• Orientation toward the completion of projects and the attainment of goals

Emphasis will be placed on personal suitability for the position.

 

Your application must include:

• A short cover letter (maximum 2 pages), including a brief account of your research interests and motivation for the position.
• Official Transcripts and Diplomas in a Scandinavian or English language. If the original is in another language than these, then both the original and an English translation should be submitted.
• CV
• Master’s thesis
• Any relevant publications
• The names and contact information of two reference persons. (One should preferably be the main supervisor/advisor of your master’s thesis.)
• A proposal for a research project of a maximum of five (5) pages. See here for template: https://www.kristiania.no/contentassets/aea39e6158c24858ac7627a1e3537242/project-proposal-template_fellowship-application.pdf

 

Kristiania University College will only process applications submitted through our electronic recruitment system. All documents must be uploaded in this system for your application to be considered. The documents must be in English or a Scandinavian language. Translations must be authorized, and you must be prepared to present originals during a potential interview. Kristiania conducts document verification to ensure a genuine evaluation and fair competition for you as a candidate. Incomplete applications will not be considered.

 

Evaluation of the applicants

All complete applications from qualified applicants will be assessed by an expert committee.

The candidate must be accepted to the PhD programme at the latest three months after signing the employment contract. To be accepted to this programme, one must fulfil the following requirements:

• a relevant 180 ECTS bachelor’s degree, and
• a relevant 120 ECTS master’s degree (or integrated bachelor and master) with minimum 30 ECTS master thesis, and with grade similar to the Norwegian/European grade B or higher both in average for the master’s degree in total and for the master’s thesis alone. 

 

We offer:

• An exciting job in a dynamic professional environment in an organization with ambitions
• A pleasant and stimulating working environment with good colleagues
• Opportunities for professional development
• Good insurance and pension schemes
• Corporate sports teams and training facilities
• Modern work space in downtown Oslo

 

The starting salary is 532,200 NOK per year. 

 

Kristiania University College welcomes and encourages diversity. Women and persons with minority background are particularly encouraged to apply. 

 

We use Semac background checks in our recruitment process.

 

Only applications received through our application portal within the deadline will be considered.

 

Application deadline 

01.04.2024

 

For more information about the School of Economics, Innovation, and Technology, see here: https://www.kristiania.no/en/schools/school-of-economics-innovation-and-technology/

For more information about Kristiania, see here: https://www.kristiania.no/

 

Contact person

Noha El-Ganainy

Førsteamanuensis

 

[email protected]

Requirements

Research Field

Technology

Education Level

Bachelor Degree or equivalent

Research Field

Technology

Education Level

Master Degree or equivalent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Kristiania University College

Country

Norway

City

Oslo

Postal Code

0153

Geofield

Where to apply

Website

https://www.kristiania.no/en/research/phd/?rmpage=job&rmjob=732&rmlang=UK

Contact

City

Oslo

Website

https://kristiania.no/

Street

Prinsensgate 7-9

E-Mail

[email protected]

STATUS: EXPIRED