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activities in order to accurately capture network behavior, especially in complex and highly dynamic scenarios. The objective of this research program is to develop analytical models and simulation tools
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and unplanned changes to network infrastructure. Ensure all networks are meeting industry standards and performance goals. Considered highly skilled and proficient in discipline. Conducts complex
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). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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networks are meeting industry standards and performance goals. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with
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, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis
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(Networks) provides technical leadership and coordination for the university’s enterprise network services, including campus networking, data center connectivity, wireless infrastructure, electronic
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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pooling coordination schemes for CF-based 6G RANs. His/Her work will adress objectives like: (i) develop low-complexity ML algorithms for efficient multi-objective network optimization, radio resources