Willingness to work with all levels Ability to work independently, manage time and reach across the organization for questions and input Process analysis, assessment and improvement and other classic Experience Very skilled with data handling using various tools – specialized by application or generic Bachelor’s degree or commensurate level of operations experience Proficient in performance data analysis and reporting

To be frank - all domains are simply easy to cope up with , but guys working there(other domains) will make DC Ops guys to feel that they are working with Rocket Science DC operations is the first point of contact if there is any issue. You'll not have to deal with clients as it will be done by the Service Desk team. Here you'll be able to coordinate with all the teams in your project which will help you to know various technologies but nothing specific. To be successful in IT industry it is a must to specialise in something and also know about other domains at the bottom level. You'll get the bottom level exposure with DC Ops. At the same time do concentrate on a domain of your interest and try to learn new things. Get a book explaining things related to the domain you choose. and finally every single detail is available in Google. Please don't depend on others to learn something - They will never teach you the right way (unless he really is a good one). Trust google and books. Check google about issues for which you create tickets.

At present, more and more emerging chemical conversion routes have been proposed, in order to pursue processes with better safety, operation efficiency, and economic potential with less environmental impact. Hence, techniques in the field of process systems engineering (PSE) have attracted wide attention. Among the major topics in this field, process design and optimization deals with the problem of performing overall mass and energy balance of any given process, providing the process concept, enhancing the process performance, and so on. It also helps to overcome the gap between lab-scale and plant-scale operation, as well as between theoretical and practical knowledge. This Special Issue aims at collecting seminal, original papers in the field of process design and optimization. We welcome articles including but not limited to the following topics: Conceptual or rigorous simulation of novel processes; Optimization of processes (either single or multi-objective ones); Data-driven design and optimization; Techno-economic, environmental assessment, or life cycle analysis studies; Process safety studies; Process designs for circular economy.