Din jobbevakning har skapats.
King Abdullah University of Science and Technology (KAUST)
Postdoctoral Fellowship position - Data Driven Machine Learning
King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology is a graduate research university of science and technology.
Besök arbetsgivarsida
OM TJÄNSTEN
Publicerad: 6 dagar sedan
Sista ansökningsdatum: Ospecificerad
Plats: Thuwal, Saudi Arabia
Du måste logga in eller skapa ett konto för att spara detta jobb
Ange gärna att du hittade det här jobbet på Academic Positions i din ansökan.
DELA DETTA JOBB

Postdoctoral Fellowship position - Data Driven Machine Learning

King Abdullah University of Science and Technology: Postdoc Positions: Biological and Environmental Science and Engineering Division

Location

Thuwal, Saudi Arabia

Open Date

Jul 11, 2018

Description

The lab of professor Jesper Tegnér at KAUST has openings for three postdoctoral fellowships in Data-driven Machine Learning for unbiased Discovery of Generative Models with special reference to Single Cell Analytics.

The Living Systems Laboratory (livingsystems.kaust.edu.sa) offers an excellent interdisciplinary environment where experimentalists work closely with computational experts utilizing state-of-the-art genomic technologies. We ask fundamental questions on how cells operate as molecular machines with special reference to the dynamic gene regulatory networks governing cellular identity and stability of states. We believe that adaptive molecular circuits in living systems hold secrets to new properties beyond what is readily apparent from the fundamental equations of matter. In our quest of discovering principles of natural adaptive computation and fundamental understanding of cells – the building blocks of life we use a blend of computational, experimental, and theory-driven approaches.

We are now recruiting 3 postdoctoral researchers (https://postdoc.kaust.edu.sa/Pages/Home.aspx) with a strong computational and/or theory background to develop novel computational methods. We are in particular targeting development of data-driven high-performance computing techniques for unbiased discovery of generative models & theory and algorithms for network inference with special reference to multi-omics single cell data. The 3 positions require skills (each in different degrees and balance) on high-performance computing, dynamical systems, machine learning techniques for high-dimensionality data-analysis, information theory, unsupervised learning and artificial intelligence, programming, appropriate numerical schemes and efficient implementation of algorithms. Positions include (i) theory and algorithms for efficient learning of dynamical models of micro-states evolving over time including machine based learning of derivation of coarse grained representations; (ii) implementation of large-scale computational schemes involving learning algorithms and dynamical systems models; (iii) application and fine-tuning of these tools using single cell data from stem cells, immune cells, and neurons.                                                                    

We are embedded in BESE division (bese.kaust.edu.sa), which extends and supports a multi-disciplinary work environment. Furthermore, through the core laboratories

(corelabs.kaust.edu.sa) such high-performance computing, extreme computing, visualization, and the bioscience core. Our workplace is truly international. We have several international collaborations, including Karolinska Institutet (compmed.se). Due to the number of ongoing collaborations with teams in Europe and US and the successful candidates are expected to interact and travel with those teams depending on the specific project needs.          

About KAUST

King Abdullah University of Science and Technology (KAUST) is being established in Saudi Arabia, on the Red Sea coastal area of Thuwal, as an international graduate-level research university dedicated to inspiring a new age of scientific achievement that will benefit the region and the world. As an independent and merit-based institution and one of the best-endowed universities in the world, KAUST intends to become a major new contributor to the global network of collaborative research. It will enable researchers from around the globe to work together to solve challenging scientific and technological problems. The admission of students, the appointment, promotion and retention of faculty and staff and all the educational, administrative and other activities of the University shall be conducted on the basis of equality, without regard to race, color, religion or gender. The leading position of KAUST with respect to research output in the region and the world was recognized by the QS World University Rankings 2016-2017, which ranked the University first globally in the category of Faculty Citations. Further information can be found at www.kaust.edu.sa.

         

Qualifications

The candidates are expected to have a strong motivation to identify and solve scientific problems in an interdisciplinary collaborative research environment. The postdoc will work in close collaboration with, computer scientists, bioinformaticians, and molecular biologists but is expected to run his/her own project independently. A strong track record from computational projects, a passion for science and good interpersonal skills are prerequisites for the position.

Requirements

  • Creative and self-motivated personality with interest in fundamental and applied science
  • Excellent problem-solving skills
  • Good interpersonal skills
  • Excellent communication skills in English
  • High-level written and oral communication skills with the ability to represent the research team at national and international conferences.
  • A record of publications in quality, peer reviewed journals
  • A doctorate in a relevant discipline area, such as Computer Science, Physics, Computational Mathematics.

Application Instructions

Application should include

  • Single Page Cover letter including a description of your research experience and your research interests 
  • CV including list of publications
  • Copy of official academic transcripts
  • Three letters of reference

Other information
The starting date is flexible. Please indicate approximate starting date.

For further details about the position, please contact Prof. Jesper Tegnér (jesper.tegner@kaust.edu.sa)

Läs mer
Du måste logga in eller skapa ett konto för att spara detta jobb

30 JOBB FRÅN DENNA ARBETSGIVARE

Postdoctoral Fellow or Research Specialist - Photonics
King Abdullah University of Science and Technology: Researcher Positions Location Saudi Arabia Open Date May 24, 2018 Description We are seeking to fill a position in the Photonics Lab at KAUST. The candidate will perform technical tasks associated with the...
Postdoctoral Research Fellow - Assessment of Carbon Capture and Storage (CCS) Potential in Saudi Arabia
King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division: Earth Science and Engineering Location KAUST, Saudi Arabia Open Date Feb 10, 2019 Description The ongoing accumulation of greenhouse gas (GHG)...
Postdoctoral Research Fellow - Experimental & Numerical Investigation of Primary Expulsion of Hydrocarbons from Carbonate Source Rocks: Fundamental Scaling Relationships
King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division: Earth Science and Engineering Location KAUST, Saudi Arabia Open Date Jan 27, 2019 Description The successful candidate for this position will join...
Postdoctoral Research Fellow - Modeling Naturally Fractured Reservoirs using Finite-Element-based Methods
King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division: Earth Science and Engineering Location KAUST, Saudi Arabia Open Date Jan 21, 2019 Description Modeling naturally fractured reservoirs is re-gaining...

LIKNANDE JOBB

Postdoctoral Research Fellow - Modeling Naturally Fractured Reservoirs using Finite-Element-based Methods
King Abdullah University of Science and Technology (KAUST)
Publicerad 6 dagar sedan
Postdoctoral Research Fellow - Remote Sensing, UAVs and Precision Agriculture
King Abdullah University of Science and Technology (KAUST)
Publicerad 6 dagar sedan
Postdoctoral Research Fellow in Genomics
King Abdullah University of Science and Technology (KAUST)
Publicerad 6 dagar sedan
Postdoctoral Research Fellow – High Fidelity Simulations and Analysis of Combustion Systems
King Abdullah University of Science and Technology (KAUST)
Publicerad 6 dagar sedan

CAREER ADVICE

[[excerpt]]

By [[ author ]]
Posted [[ publishingDate ]]

[[title]] ([[ nbHits ]])

[[title]] ([[ nbHits ]])

[[title]] ([[ nbHits ]])

No results found for

Search tip

  • Check for spelling mistakes
  • Reduce the number of keywords used or try using a broader search phrase
[[ name ]]
[[ name ]]
[[ excerpt ]]
[[ city ]], [[ region ]] [[ availableJobsBlock ]]
Featured Featured employer
Short list
Expand list