US Department of Defense Education Activity
About the Role The Department of War Education Activity (DoWEA) Network Operations Center in Vicenza, Italy, seeks an experienced IT Network Specialist (GS-12) to join our Information Technology Division. This critical position supports the secure and reliable operation of enterprise-level network infrastructure serving educational facilities across geographically dispersed locations. Federal employees in Vicenza currently receive a 20% Post Allowance (COLA) in addition to base salary, along with overseas benefits including potential Living Quarters Allowance and home leave eligibility. This permanent, full-time position offers an initial 36-month overseas tour with opportunities for professional growth in a dynamic international environment. Key Responsibilities Network Monitoring & Operations Oversee daily operation and performance monitoring of complex network systems including voice, wireless, firewalls, IP-based video distribution, streaming services, and data communications Ensure comprehensive monitoring and notification services are deployed across all mission-essential network systems as defined by management Monitor network performance, availability, and security using enterprise management tools to proactively identify outages, performance degradation, vulnerabilities, and configuration issues Coordinate with internal teams, service providers, and vendors to resolve network incidents and maintain optimal system performance Security & Compliance Management Ensure all IT network systems meet stringent security requirements related to physical, personnel, and information security protocols Provide expert recommendations for security incident response, including user contact procedures, management notifications, investigation coordination, and comprehensive documentation of findings Maintain compliance with established security policies, regulations, and DoWEA operational standards Support cybersecurity initiatives and implement security best practices across network infrastructure System Administration & Technical Support Perform advanced Tier II network troubleshooting and incident response in a Network Operations Center environment Plan, schedule, and execute installation of new or modified hardware, network operating systems, and applications software Analyze network administration Standard Operating Procedures on an ongoing basis to ensure compliance with established policies and regulations Evaluate and validate proposed test plans to ensure thorough assessment of unique or high-priority network elements and operations Documentation & Process Improvement Develop, implement, and maintain comprehensive technical documentation including SOPs, network diagrams, and configuration standards Document investigation findings, system changes, and operational procedures to support IT service management requirements Analyze operating system relationships and interdependencies to resolve complex network administration issues Contribute to continuous improvement initiatives for network operations and service delivery Requirements Essential Qualifications U.S. Citizenship required with ability to obtain and maintain Secret Security Clearance One year of specialized experience equivalent to GS-11 level including: Administering enterprise-level network infrastructure (LAN/WAN, WLAN, SD-WAN, firewalls, remote access solutions) Managing network performance using enterprise tools (SolarWinds, Cisco Catalyst Center, or equivalent) Performing Tier II troubleshooting and incident response in NOC or similar enterprise environment Implementing network configuration changes and maintaining technical documentation for cybersecurity compliance Core IT Competencies Attention to Detail: Demonstrated ability to complete thorough, accurate work independently under challenging conditions Customer Service: Experience resolving complex problems, maintaining strong customer relationships, and conducting service quality evaluations Oral Communication: Proven ability to convey complex technical information effectively to diverse audiences and stakeholders Problem Solving: Track record of identifying issues, evaluating alternatives, and developing strategic solutions while engaging multiple stakeholders Security & Certification Requirements Must obtain Information Assurance Technician (IAT) Level II certification within 6 months of appointment Complete Foundational Qualification requirements within 9 months and Residential qualification requirements within 12 months Pass Tier 3 (T3) background investigation and maintain security standards throughout employment Overseas Assignment Requirements Obtain Official Passport and Italian visa prior to departure Comply with Exceptional Family Member Program requirements per DoD Instruction 1315.19 Meet 5-year overseas rotation requirements and initial 36-month tour commitment Demonstrate flexibility for occasional travel (up to 10% of time) Additional Considerations Location Benefits Based in historic Vicenza, Italy with access to European cultural and travel opportunities Potential eligibility for government quarters or Living Quarters Allow
Oulun yliopisto
Doctoral Researcher - Emergent Communications Protocols in beyond 5G/6G About the University of Oulu The University of Oulu is a multidisciplinary, international research university with about 4,000 employees who produce new knowledge based on high-standards research and provide research-based education to build a more sustainable, smarter, and more humane world. Our community totals about 17,000 people, operating globally to create conditions for innovation emergence. About the Role We are seeking a Doctoral Researcher to join the Centre for Wireless Communications (CWC) at the Faculty of Information Technology and Electrical Engineering. The Intelligent Connectivity and Networks Group (ICON), part of CWC, focuses on theoretical and algorithmic foundations of next-generation wireless systems through interdisciplinary research combining machine learning, optimization, control, and economics. This position is part of the GENOME project, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, focusing on developing AI-native solutions for autonomous network management across O-RAN, edge, and cloud domains. Research Focus This doctoral research centers on learning resource-efficient communication protocols for distributed, task-oriented agents in beyond 5G/6G systems. Key research themes include: Emergent semantic communication Learning-based protocol design Multi-agent systems AI-native network architectures Key Responsibilities Develop novel cooperative multi-agent communication frameworks integrating insights from multi-agent communication, multi-objective optimization, and state abstraction Design and investigate new signaling mechanisms and scalable learning strategies, exploring optimization approaches, generative AI, and multimodal sensing Validate developed methods in representative beyond 5G/6G use cases Complete doctoral study requirements Collaborate with multi-disciplinary teams and interdisciplinary partners What We Offer Support from an experienced and enthusiastic team Wellness benefit ePassi covering sport, culture, and well-being Development and career opportunities within a large organization Meaningful work with workplace flexibility and work-life balance Buddy Program and Spouse Network for settling into Oulu HR Excellence in Research quality label from the European Commission Location in Finland, one of the world's most livable countries Required Qualifications Master's degree in Electrical Engineering, Communications Engineering, Computer Science, Machine Learning, or closely related field (to be completed before employment start) Strong understanding of mathematical foundations: probability, statistics, and linear algebra Strong research motivation and open-minded attitude towards interdisciplinary topics Ability and motivation to pursue doctoral studies Excellent written and spoken English communication skills Preferred Qualifications Prior research experience through publications, thesis work, or relevant projects Strong programming skills (e.g., Python) and experience with relevant frameworks (e.g., PyTorch, TensorFlow) Ability to work in interdisciplinary and collaborative research environments Eligibility Requirements MSCA Doctoral Network regulations: Mobility Rule: Candidates must not have resided or carried out main activity in Finland for more than 12 months in the 36 months immediately before recruitment Must not already possess a doctoral degree at recruitment date Must apply for doctoral study rights at University of Oulu Graduate School Position Details Duration: Fixed-term, 3 years Start Date: May-June or upon agreement Salary: Approximately €4,251 gross monthly for full-time employment (including mobility allowance), with potential family allowance Trial Period: 6 months Application Process Applications must be submitted exclusively through the official GENOME project website by April 24, 2026. Applications via other platforms will not be considered. Required Application Materials (in English): Motivation letter CV Transcripts Referee contacts We welcome applicants from all backgrounds, including people of different ages, genders, languages, cultures, and minority communities.
MMATISS
Information Security Specialist General Activities Ensures comprehensive control and security of information systems and technologies in accordance with Standard Operating Procedures (SOPs) and both international and local regulatory requirements. Develops and maintains the information and communication framework necessary to effectively support organizational operations. About MMATISS MMATISS offers a wide range of professional development opportunities for outstanding professionals looking to advance their careers in a dynamic environment. What We're Looking For We are seeking exceptional professionals who are passionate about information security and technology infrastructure. If you are a dedicated specialist interested in joining our team, we encourage you to apply and become part of our growing organization.