{"id":7223,"date":"2020-07-08T16:32:58","date_gmt":"2020-07-08T14:32:58","guid":{"rendered":"http:\/\/www.gatv.ssr.upm.es\/?page_id=7223"},"modified":"2024-10-21T12:25:10","modified_gmt":"2024-10-21T10:25:10","slug":"tft-offers","status":"publish","type":"page","link":"https:\/\/www.gatv.ssr.upm.es\/index.php\/tft-offers\/","title":{"rendered":"TFT Offers"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lb5503io-faf858b1ad7db655178f3e947a6150b8\">\n.avia-image-container.av-lb5503io-faf858b1ad7db655178f3e947a6150b8 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-lb5503io-faf858b1ad7db655178f3e947a6150b8 av-styling- avia-align-center  avia-builder-el-0  el_before_av_heading  avia-builder-el-first '  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-8421 avia-img-lazy-loading-not-8421 avia_image' src=\"https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-scaled.jpg\" alt='' title='TFT-offers_banner'  height=\"334\" width=\"2560\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-scaled.jpg 2560w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-300x39.jpg 300w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-1030x134.jpg 1030w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-768x100.jpg 768w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-1536x200.jpg 1536w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-2048x267.jpg 2048w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-1500x196.jpg 1500w, https:\/\/www.gatv.ssr.upm.es\/wp-content\/uploads\/2022\/12\/TFT-offers_banner-1-705x92.jpg 705w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-4e78pz-9f426630081ffee9e4d49f9d28147dcf\">\n#top .av-special-heading.av-4e78pz-9f426630081ffee9e4d49f9d28147dcf{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-4e78pz-9f426630081ffee9e4d49f9d28147dcf .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-4e78pz-9f426630081ffee9e4d49f9d28147dcf .special-heading-inner-border{\nborder-color:#4ecac2;\n}\n.av-special-heading.av-4e78pz-9f426630081ffee9e4d49f9d28147dcf .av-subheading{\nfont-size:15px;\n}\nbody .av-special-heading.av-4e78pz-9f426630081ffee9e4d49f9d28147dcf .av-special-heading-tag .heading-wrap:before{\nborder-color:#4ecac2;\n}\nbody .av-special-heading.av-4e78pz-9f426630081ffee9e4d49f9d28147dcf .av-special-heading-tag .heading-wrap:after{\nborder-color:#4ecac2;\n}\n<\/style>\n<div  class='av-special-heading av-4e78pz-9f426630081ffee9e4d49f9d28147dcf av-special-heading-h3 custom-color-heading  avia-builder-el-1  el_after_av_image  el_before_av_toggle_container '><h3 class='av-special-heading-tag'  itemprop=\"headline\"  >Topics within our research lines for B. Sc. thesis (TFG) and M. Sc. thesis (TFM):<\/h3><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lfaw2p0r-86dfde87b6971c81558e798ae05f14bf\">\n#top .togglecontainer.av-lfaw2p0r-86dfde87b6971c81558e798ae05f14bf p.toggler .toggle_icon{\ncolor:#4ecac2;\nborder-color:#4ecac2;\n}\n#top .togglecontainer.av-lfaw2p0r-86dfde87b6971c81558e798ae05f14bf p.toggler .toggle_icon > span{\ncolor:#4ecac2;\nborder-color:#4ecac2;\n}\n<\/style>\n<div  class='togglecontainer av-lfaw2p0r-86dfde87b6971c81558e798ae05f14bf  avia-builder-el-2  el_after_av_heading  avia-builder-el-last ' >\n<section class='av_toggle_section av-lfavxgdt-2f3217fb1ec42715bbbfc1d6cf122172'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-1' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-1'>TFM: A Comparative Analysis of A3C and SAC Algorithms in Deep Reinforcement Learning<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-1' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJETIVE:<\/p>\n<p>This thesis aims to conduct a comprehensive comparison between two prominent deep reinforcement learning algorithms, Asynchronous Advantage Actor-Critic (A3C) and Soft Actor-Critic (SAC). Both A3C and SAC have demonstrated remarkable success in tackling complex tasks in continuous and discrete action spaces, respectively. However, a thorough investigation into their strengths, weaknesses, and performance across various benchmarks and environments remains unexplored.<\/p>\n<p>This study will compare both algorithms in Python using TensorFlow and OpenAI Gym (A3C provided), providing an in-depth analysis of their sample efficiency, convergence rate, stability, and scalability.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Python (TensorFlow), Reinforcement Learning theory<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Alberto del R\u00edo \u2013 <a href=\"mailto:arp@gatv.ssr.upm.es\">arp@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-4ae46c57b8c98d3b2f03ca5b92cf91e6'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-2' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-2'>TFG: Media Production Control for Enhanced Content Creation<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-2' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJETIVE:<\/p>\n<p>The proposed Master thesis aims to develop a media production control module for optimizing content creation processes. The Studio Production module will integrate information from diverse sources and employ innovative techniques to produce media content that seamlessly combines these inputs into a cohesive and engaging stream.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Python, Multimedia tools (OBS).<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>\u00c1lvaro Llorente \u2013 <a href=\"mailto:alg@gatv.ssr.upm.es\">alg@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-4b23c7db32b61aa242f69f722365890d'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-3' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-3'>TFM: Comparative Analysis of Network Characteristic Measurement Tools: A Study of Features and Performance<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-3' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJECTIVE:<\/p>\n<p>The objective of this Bachelor\/Master thesis is to conduct a comprehensive comparison between different network measurement tools to evaluate their capabilities in assessing various network characteristics, such as jitter, bandwidth, latency, and packet loss. The study will focus on open-source tools, including Scapy for Python, Socket programming, ping, nmap, and pyping, to understand their included features and the time taken to perform these measurements accurately.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Network fundamentals (TCP\/UDP); Programming languages (Bash, Python)<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Alberto del R\u00edo \u2013 <a href=\"mailto:arp@gatv.ssr.upm.es\">arp@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-7e0794eed8d733742fb3dd300932adbc'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-4' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-4'>TFM: Network Anomaly Detection using Machine Learning Techniques<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-4' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJECTIVE:<\/p>\n<p>The objective of this Master&#8217;s thesis is to design and implement algorithms for network anomaly detection. The study aims to develop a system that can identify unusual behavior, security threats, and potential network outages by analyzing network traffic patterns. By utilizing machine learning techniques, the research will focus on creating an efficient and accurate anomaly detection system for network administrators and security personnel.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Network fundamentals (TCP\/UDP); Programming languages (Bash, Python)<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Alberto del R\u00edo \u2013 <a href=\"mailto:arp@gatv.ssr.upm.es\">arp@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-4ca2aed910480e5c59f86b9c20d47ce1'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-5' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-5'>TFM: Predictive Bandwidth Usage Modeling for Efficient Network Resource Management<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-5' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJECTIVE:<\/p>\n<p>The goal of this Master&#8217;s thesis is to develop a predictive model for bandwidth usage based on historical data. The study will analyze and process historical bandwidth usage patterns to forecast future bandwidth demands accurately. By employing time series analysis, machine learning, or statistical methods, the research aims to provide network administrators with valuable insights to proactively manage network resources, prevent congestion, and optimize overall network performance.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Network fundamentals (TCP\/UDP); Programming languages (Bash, Python)<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Javier Serrano \u2013 <a href=\"mailto:jsr@gatv.ssr.upm.es\">jsr@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-fe3e84f6b5352a0913e16fd776293aba'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-6' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-6'>TFM: Dynamic Routing Optimization for Enhanced Packet Delivery<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-6' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJECTIVE:<\/p>\n<p>The objective of this Master&#8217;s thesis is to optimize dynamic routing algorithms for faster and more efficient packet delivery in computer networks. The research will focus on analyzing routing paths, network topology, and link conditions to propose enhancements to existing dynamic routing protocols. The study aims to improve the routing decision-making process, reduce latency, and optimize the network&#8217;s ability to adapt to changing conditions.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Network fundamentals (TCP\/UDP); Programming languages (Bash, Python)<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Javier Serrano \u2013 <a href=\"mailto:jsr@gatv.ssr.upm.es\">jsr@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-4764d7df43c3993eb9a56e7d1e34c67e'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-7' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-7'>TFM: A Comprehensive Assessment of Network Performance by means of a Network Health Index<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-7' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJECTIVE:<\/p>\n<p>The goal of this Master&#8217;s thesis is to develop a comprehensive network health scoring system that evaluates multiple performance metrics to provide an overall network health assessment. The research will identify key network performance indicators, such as bandwidth utilization, latency, packet loss, and error rates, and develop a scoring system to quantify the network&#8217;s overall health. By leveraging data analysis and visualization techniques, the study aims to empower network administrators with a holistic view of the network&#8217;s performance, aiding in proactive maintenance and troubleshooting efforts.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Network fundamentals (TCP\/UDP); Programming languages (Bash, Python)<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Alberto del R\u00edo\u2013 <a href=\"mailto:arp@gatv.ssr.upm.es\">arp@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-lfavxgdt-96208b09793956be40dd1c22175b3f56'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-8' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-8'>TFG: Development of a Python-based Network Performance Probe for Multi-Tool Measurement<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-8' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>OBJECTIVE:<\/p>\n<p>Network performance is critical for ensuring efficient and reliable data transmission in modern communication infrastructures. This proposal outlines the development of a versatile and comprehensive network performance probe using Python. The proposed probe will leverage various online measurement tools to assess critical network characteristics, including latency, jitter, bandwidth, and packet loss.<\/p>\n<p>REQUIREMENTS:<\/p>\n<p>Network fundamentals (TCP\/UDP); Programming languages (Bash, Python)<\/p>\n<p>CONTACT PERSON:<\/p>\n<p>Alberto del R\u00edo\u2013 <a href=\"mailto:arp@gatv.ssr.upm.es\">arp@gatv.ssr.upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<section class='av_toggle_section av-m2ivbc1h-3861ab06e0e2e9b52697bd75143864b4'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{Todo} \"  ><p data-fake-id='#toggle-id-9' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-9'>TFM: Sistema de up-scaling basado en deep-learing para transformar se\u00f1ales de TV de HD a UHD con muy alta calidad, HDR y WCG<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-9' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p><strong>Objetivo<\/strong>: El TFM implementar\u00e1 un sistema para realizar up-scaling de se\u00f1al de v\u00eddeo digital HD a UHD, incluyendo cambios en el rango din\u00e1mico y en la colorimetr\u00eda de la imagen, haciendo uso de deep learning. El objetivo final es que dicho sistema de up-scaling ofrezca muy alta calidad, y que funcione en tiempo real. Para ello se cuenta con la colaboraci\u00f3n de RTVE y de su infraestructura de computaci\u00f3n, dado que RTVE aspira a utilizar dicho sistema de up-scaling para su canal de TV UHD. Este TFM se oferta en el marco de la C\u00e1tedra RTVE en la UPM, que ser\u00e1 quien proporcione contenidos para los procesos de entrenamiento y aprendizaje de la red, y contar\u00e1 con una ayuda econ\u00f3mica en forma de beca, a trav\u00e9s del programa Impulsa RTVE.<\/p>\n<p><strong>Requisitos<\/strong>: Conocimientos y experiencia de programaci\u00f3n en python y del desarrollo de sistemas de deep learning con im\u00e1genes y\/o v\u00eddeo digital.<\/p>\n<p><strong>Persona de contacto<\/strong>: Jos\u00e9 Manuel Men\u00e9ndez &#8211; <a href=\"mailto:jm.menendez@upm.es\">jm.menendez@upm.es<\/a><\/p>\n<\/div><\/div><\/div><\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7223","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/pages\/7223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/comments?post=7223"}],"version-history":[{"count":36,"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/pages\/7223\/revisions"}],"predecessor-version":[{"id":10272,"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/pages\/7223\/revisions\/10272"}],"wp:attachment":[{"href":"https:\/\/www.gatv.ssr.upm.es\/index.php\/wp-json\/wp\/v2\/media?parent=7223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}