PhD student in the Division for Applied Mathematics and Statistics, Ref PAR 2023/57

Ref REF 2023-0005

Göteborgs universitet möter samhällets utmaningar med mångsidig kunskap. 56 000 studenter och 6 600 medarbetare gör universitetet till en stor och inspirerande arbetsplats. Stark forskning och attraktiva utbildningar lockar forskare och studenter från hela världen. Med ny kunskap och nya perspektiv bidrar Göteborgs universitet till en bättre framtid.

Doctoral position in Applied Mathematics and Statistics

At the division of Applied Mathematics and Statistics we conduct research within the theory and implementation of finite element methods, inverse wave propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning.  

Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization.

We are looking for a motivated, independent student with strong computational skills and a broad interest in mathematics, statistics and biology. The project is part of a large research consortium into the modeling of invasive cancer growth. The PhD student will be working closely with systems biology and computational biology research teams at Uppsala and Stockholm University as well as the computational statistics group at Chalmers/GU. The primary research topic is the development of new matrix- and tensor-imputation methods and advanced machine learning strategies for accelerated drug-discovery. The data resources are state-of-the art spatial transcriptomics and CRISPR perturb-seq single cell data and you will be expected to work closely with the teams that generate these data sets in order to ensure that methods are customized to the explicit data challenges at hand.

General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. 

https://medarbetarportalen.gu.se/doktorand/?languageId=100001&skipSSOCheck=true   

Subject area
Applied Mathematics and Statistics

Specific subjec description
The PhD position offers an opportunity to conduct research in a collaborative environment. The research project centers on the development of new statistical methodologies for the analysis of high-dimensional biological data obtained through state-of-the-art and novel experimental technologies. A key goal is to propose new therapeutic strategies for brain cancer. As a PhD student your working time will be split between research, teaching and course work. Teaching can take the form of course assistant, lecturer or supervision of Master and Bachelor students. 

The PhD student researcher will join Rebecka Jörnsten’s research group at the Division of Applied Mathematics and Statistics (http://www.math.chalmers.se/~jornsten/). The group comprises 3 PhD students and 3 post-doctoral researchers. The research group is focused on network modeling, data integration and regularization techniques in high-dimensional statistical modeling and neural networks.

At Chalmers and the University of Gothenburg, you will be part of a large network of junior and senior faculty doing research in a wide range of statistics and mathematics.

This position is funded through the Knut and Alice Wallenberg Foundation and you will join a consortium comprising 5 senior researchers, a large number of postdocs and PhD students as well as technical personal and bioinformaticians.

Job assignments 
You will be enrolled in a graduate program at the Department of Mathematical Sciences (https://www.chalmers.se/en/departments/math/research/postgraduate-studies/Pages/Graduate-schools-and-third-cycle-subjects.aspx). During the second half of PhD studies you are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position will normally include 20partmental work, mostly teaching duties.

The employment is a fixed-term position limited to a maximum of five years, four years of studies and up to one year of departmental work distributed during the whole employment period.

Education at third-cycle level comprises four years of full-time study, and leads to a doctoral degree.  

Eligibility   
Education at third-cycle level requires general eligibility and, where appropriate, specific eligibility as set out in the general syllabus for the subject.  

The general eligibility requirements for education at third-cycle level are:    

  1. having completed a degree at second-cycle level, or
    2. the fulfilment of course requirements totalling at least 240 credits, of which at least 60 credits must be at second-cycle level, or
  2. the acquisition of equivalent knowledge in some other way, either in Sweden or abroad. 


The eligibility for academic positions is given in the Swedish Higher Education Ordinance. To qualify for the position the applicant must have obtained a Master’s degree or a 4-year Bachelor’s degree in mathematics, applied mathematics, mathematical statistics, data science, computational biology, bioinformatics, computational sciences or other relevant field or expect to complete such a degree by September 1, 2023.

Previous experience with collaborative research, especially in high-dimensional biology,  is meritorious. The applicant should also be experienced in programming (Matlab/Python/R or equivalent languages). Strong communicative skills and fluency in written and spoken English are a requirement.

Please, include all relevant work such as Bachelor's or Master's thesis and articles (provide an English summary if necessary) that you have authored or co-authored.

Assessment  
Regulations for the evaluation of qualifications for education on a doctoral level are given in SFS 1998:80.

Employment   
Once you have been admitted for education at third-cycle level, you will be employed as a doctoral student at the University of Gothenburg.   

The provisions for employment as a doctoral student can be found in ordinance SFS 1993:100.    

Initial employment as a doctoral student may apply for a maximum of one year, and may be renewed by a maximum of two years at a time.  

A doctoral student may be employed as a doctoral student for a maximum of eight years, but the total period of employment may not be longer than the equivalent of full-time education at third-cycle level for four years.  

Type of employment: Fixed-term employment
Extent: 100 %
Location: Department of Mathematical Sciences, Gothenburg
First day of employment: August 15, 2023

The University applies a local agreement on salaries for doctoral students. 

Application procedure 
Submit the following documents:

  • Application letter (max 2 pages) where you introduce yourself and describe your background and research interests
  • Detailed curriculum vitae
  • Electronic copies of your master and bachelor transcripts
  • Copies of your bachelor’s and master’s thesis if available
  • Names of at least two reference persons

Contact information 
Rebecka Jörnsten, Professor, Project supervisor
+46 760 491949, jornsten@chalmers.se
Annika Lang, Professor, Head of Unit of Applied Mathematics and Statistics
+46 31 772 5356, annika.lang@chalmers.se

Applications must be received by:  2023-02-24

Read more and apply here


URL to this page
https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=11333&rmlang=UK