Doctoral student in numerical algorithms for applications in oceanography - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Computational and applied mathematics

Computation is nowadays viewed as the third scientific tool as a complement to theory & experiment. New data analytics tools can be seen as the fourth approach, which lately has had tremendous impact on problems outside the reach of previous scientific techniques. Scientific problems within computational sciences and data analytics are often formulated using the language of linear algebra, whose solution can be computed with numerical linear algebra. In this project you will obtain the opportunity to work with algorithms for data analytics and numerical linear algebra specifically designed for high-dimensional data originating from oceanography. The ocean has absorbed 90% of the warming due to increasing greenhouse gases in the last decades. Ocean processes like algae blooms have negative impacts on coastal cities and industries. Scientific problems in oceanography feature high-dimensional time series and multiple-dimensional space series, and development of tailored high-dimensional data analysis algorithms is a priority.  Techniques to develop these algorithms will consist of a combination of algorithms from numerical linear algebra, for example matrix functions, domain specific techniques from oceanography as well as machine learning techniques, such as deep learning.  No prerequisites in oceanography is required.

As a PhD student within this project you will be a member of the research group in computational mathematics, and have the possibility to work with researchers and experts in numerical linear algebra, as well as ocean researchers (oceanopgraphers) at Stockholm university. Research in this project spans from software, algorithm and analysis & will be used to approach important problems in oceanography.

Supervision: Professor Elias Jarlebring is proposed to supervise the doctoral student. Decisions are made on admission

What we offer

• The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world. Read more
• A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
• A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
• Work and study in Stockholm, close to nature and the water.
• Help to relocate and be settled in Sweden and at KTH.
• Access to platforms for science with possibilities to interact with world-leading researchers in nearby fields, e.g., through the e-Science network, SeRC Swedish e-Science research center, Brummer & Partner MathDataLab
• Access to experts in programming and software for scientific computation, e.g., in within the programming language Julia.

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

• A masters degree within the field of scientific computation, applied mathematics or nearby disciplines.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyse and work with complex issues.
• International experience at different universities, e.g., exchange student studies, teaching at other universities, or research projects at other different universities will be seen as positive.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Application

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Applications must include the following elements:

• CV including your relevant professional experience and knowledge.
• Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
• Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.