en

Doctoral student in applied and computational mathematics

Doctoral student in applied and computational mathematics

Sweden 11 Mar 2021
KTH Royal Institute of Technology

KTH Royal Institute of Technology

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OPPORTUNITY DETAILS

Total reward
0 $
State University
Area
Host Country
Deadline
11 Mar 2021
Study level
Opportunity type
PhD
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.


Project description

Third-cycle subject: Applied and computational mathematics, specialization mathematical statistics

The Department of Mathematics at the Royal Institute of Technology seeks applications for a Ph.D student position in Applied and Computational Mathematics for a project on convergence in machine learning.

The project will study the convergence behavior of machine learning models, such as deep neural networks and low-rank matrix factorization. Both of these models involve non-convex optimization, so convergence to global minima is not guaranteed, but the resulting methods achieve impressive results on a wide variety of tasks. The project will seek to characterize the properties of these models once converged by combining ideas from algebraic geometry and statistical signal processing. This theoretical analysis will be anchored in concrete problems in computer vision and cryogenic electron microscopy .

For more information, see: https://kathlenkohn.github.io/phd

You are expected to develop own ideas and communicate scientific results both orally and in writing.

Supervision: The doctoral student will be supervised by: Associate Professor Joakim Andén and Assistant Professor Kathlén Kohn.


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 .
  • See here for information on the doctoral program in applied and computational mathematics.
  • The research will be conducted in an interdisciplinary setting between research groups in algebraic geometry and machine learning.

Eligibility

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 degree at advanced level,
  • completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
  • in any other way acquired within or outside the country acquired essentially equivalent knowledge.
  • Requirements for English equivalent to English B/6, read more here .

The special requirements for the doctoral program are studies on the advanced level with specialization in mathematics, applied mathematics, or computational mathematics.


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,
  • analyse and work with complex issues,
  • in addition to the traditional academic merits, such as a talent for mathematical studies, a relevant degree project and international experience are regarded as advantageous qualifications and
  • Studies at the advanced level with specialization in algebraic geometry or machine learning will also be regarded as particularly advantageous qualifications.

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

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.
  • 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.


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