International Postdoctoral Program (2017/2) - Call for applications

Campus Vida's Research Centers Network at the University of Santiago de Compostela hires new postdoctoral researchers in the areas of Information Technology (CiTIUS), Chemistry (CiQUS) and Medicine (CiMUS) for a period of two years.

RESEARCH AREA OPENINGS

1. Artificial vision

A. Description and Research objectives

The Artificial Vision Scientific Program is interested in a postdoctoral researcher with broad knowledge in artificial vision techniques and proposes three alternative research topics for the position:

  • Visual saliency models applied to the recognition of small targets and their behaviors by unmanned airborne vehicles (UAVs)

  • Biomedical image analysis: deep learning techniques, texture analysis and 3D segmentation applied to analysis and segmentation of biomedical image of electron microscopy or diffusion

  • Bioinformatics: applications in oral bacterial xenomic

    B. Qualifications and skills

    Applicants must have a PhD in the field of Physics, Mathematics or Computer Science. The candidates need to have a strong background in some of the following fields:

  • Object and/or behavior recognition, and visual saliency models

  • Deep learning, texture analysis, 3D segmentation, applied to analysis and segmentation of biomedical images (electron microscopy, diffusion, TAC,...)

  • Bioinformatics, proteomics

    The applicants must have good communication skills, be able to work in a team environment and have fluent English skills.

    Informal enquiries can be addressed to Diego Cabello(diego.cabello@usc.es).

2. Autonomous sensors

A. Description and Research objectives

The Autonomous Sensors Scientific Program is interested in a postdoctoral researcher with broad knowledge in analog and mixed signal circuits design and proposes one research objective for the position:

  • Design of CMOS vision sensors for focal-plane processing with special attention to low power consumption strategies and on-chip energy harvesting.

B. Qualifications and skills

Applicants must have a PhD in the field of Electronic Engineering, Physics or Computer Science. The candidates need to have a strong background in the following fields:

  • Mixed-signal design: strong background in Cadence design tools and knowledge of ASIC design methodology

  • Digital design (ARM, FPGA, DSP, …): able to make system level judgment and associated trade-offs. Experience in RTL design and verification of ICs is a plus

  • Experience in computer vision is a plus

    The applicants must have good communication skills, be able to work in a team environment and have fluent English skills.

    Informal enquiries can be addressed to Diego Cabello(diego.cabello@usc.es).

3. Data-to-Text

A. Description and Research objectives

The Data Engineering Scientific Program invites applications for a postdoctoral position researcher in the area of convergence between Artificial Intelligence and Data-To-Text systems. Applicants should have an excellent research track record demonstrated by publications in AI, Natural Language Generation or related areas. The postdoc researcher will join the Scientific Program, developing his/her own research agenda within one or several of the following research lines:

  • (Big)Data-To-Text

  • Explainable Artificial Intelligence and Natural Language Generation

  • Machine-learning and Natural Language Generation

  • Soft Computing meets Natural Language Generation

    B. Qualifications and skills

    Applicants must have a PhD in Artificial Intelligence, Computational Linguistics or Computer Science. The candidates need to have a strong background in at least one of the following fields:

  • Big Data Analytics

  • Knowledge representation, approximate reasoning and soft computing

  • Data-To-Text systems

  • Metaheuristics and machine learning

    Applicants must have good communication skills, be able to work in a team environment and have a fluent English.

    Informal enquiries can be addressed to: Alberto Bugarín(alberto.bugarin.diz@usc.es).

4. Machine Learning

A. Description and Research objectives

The Data Engineering, e-Health and Business Intelligence Scientific Programs are interested in a postdoctoral researcher with broad knowledge in Machine Learning technologies. Candidates are expected to have a strong theoretical background and some experience in practical applications of machine learning techniques.

B. Qualifications and skills

Applicants must have a doctoral degree in Artificial Intelligence, preferably in Machine Learning, multiple high-ranking, peer-reviewed publications in prestigious journals and/or top congresses. Proven experience in one or more of the following fields will be an advantage:

  • Deep Learning

  • Bioinspired Computing

  • Lifelong Machine Learning

  • Intelligent Biosignal Processing

  • Process Mining

  • Machine Learning for Language Technologies

  • Applications of Machine Learning in Big Data environments

    Applicants must have good communication skills, be able to work in a team environment and have a fluent English.

    Informal enquiries can be addressed to: Paulo Félix Lamas (paulo.felix@usc.es).