Applied Mathematics Research Scientist

Contenido de trabajo

Our newly founded Network Technology Lab European Branch Division will play a leading role in researching new technologies for next generation networks. These include a.o. predictive network modeling, automated pattern detection/extraction and recognition/identification for multi-dimensional interaction modeling as well as fast converging solvers. Due to various operational or performance requirements, the corresponding tasks require in turn the solving of challenging mathematical approximation, estimation, and optimization problems to support online/sequential decision processes. In order to build a team of high-end experts engaged in research work in the field of networking, we are searching for an Applied Mathematics Research Scientist !

You want more?

• Career in Huawei: candidate of Huawei Fellowship, opportunities of R&D on an international scale.
• Working environment: globally teamwork across EU and Asia with English as business language.
• Meaningful work: research results could support the requirement of Huawei’s products and solutions which are used and deployed in over 140+ countries and serving more than one third of the world’s population.
• Team spirit: barrier-free communication between each researcher in Huawei, doors are open and collaborations are always welcome.

Position Responsibility:

• Instigate and investigate emerging computational methods and technologies to build the best competitive solution by blending mathematical modeling, algorithmic and experimental/ numerical research.
• Contribute to the tasks of the department by developing the experimental tools to validate and compare these methods by means of numerical experiments, valorize these methods through innovative use case.
• New methods and technology promotion, including dialogue with R&D departments, public speech in world-class events, paper publication, academic collaboration, etc.

Position requirements:

• PhD or eventually MSc degree in Applied mathematics, Mathematical engineering, Theoretical computer science, Computer science engineering.
• Note well: candidate must have obtained their University degree from an academic institution of one of the EU countries.
• Strong research experience in either
• Continuous optimization and nonlinear programming together with very good knowledge of iterative and inexact methods for nonconvex optimization problems
• Functional analysis, nonlinear function approximation and related methods (incl. nonlinear adaptive, finite-element, wavelet methods)
• Statistical modeling, nonlinear regression analysis and distributional/generalized nonlinear methods
• Good knowledge of programming language (C/C++, FORTRAN), functional programming language (LISP, Julia, etc.) or statistical programming languages (such as R) is considered as a plus.
• Ability to initiate and develop new ideas and initiatives in collaboration with both external/academic partners.
• Excellent Communication skills - Presentation, oral and writing skills.

Seniority Level

• Entry level

Duration

• 2 years

Starting date:

• March 1st 201 (earliest) - May 1st 2021 (latest)