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Feicheng coal field, located in Feicheng city, Shandong province, has geographical coordinates of longitude 1164105" and latitude 361245", covering an area of 98 km2 (Fig.1A). The mining of deep coal seams in Feicheng coal field is seriously threatened by water inrush from the floor Ordovician limestone aquifer. Approximately 65% of the recoverable coal reserves are in the danger zone of Ordovician limestone aquifer water inrush, with 285 water inrush cases having occurred since 1960, of which 279 cases belong to floor water inrush from Ordovician limestone karst1,2,3. In seven cases, the amount of water inrush from the floor exceeded 1000 m3/h and flooded six coal mines4,5. The largest amount of water inrush from floor Ordovician limestone aquifer occurred on January 5, 1993, in Guojiazhuang Coal Mine, with a volume of 32,970 m3/h, causing a direct economic loss of 11.0179 U.S. dollars6,7,8,9. Feicheng coal field contains six minable coal seams, namely Permian coal seam #3, Carboniferous coal seam #7, coal seam #8, coal seam #9, and coal seam #10. Coal seams #3 and #7 have already been mined out, coal seams #9 and #10 have not been mined yet, while coal seam #8 is currently being mined. Caozhuang Coalmine, located in the east of Feicheng coal field (Fig.1B), often experiences mine water inrush from the floor during the mining of coal seam #8. This is mainly due to the deep destroyed floor caused by underground pressure during mining of coal seam #8 in Caozhuang Coalmine, which leads to a decrease in the effective thickness of the water-resisting layer between coal seam #8 and floor No. 5 limestone aquifer and Ordovician limestone aquifer4. Based on reference literature10,11,12,13,14,15,16,17,18,19,20,21,22,23, we collaborated with Caozhuang Coalmine to study paste-like backfill technology in 81006 coal working face, aiming to reduce the depth of destroyed floor and prevent water inrush from the floor.

Geographic location of Caozhuang Coalmine in China.

The 81006 working face in Caozhuang Coalmine has a strike length of 800m and a tilt width of 120m. Its elevation ranges between 358.7 and 397.7m, with a depth between 479 and 518m (Fig.2). Coal seam #8, which has an average thickness of 1.96m and a dip angle of 20, will be mined in this working face. The direct roof of the coal seam is No. 4 limestone with a thickness of 5.3m, while the direct floor is composed of fine sandstone with a thickness of 4.68m. The distance between coal seam #8 and floor No. 5 limestone aquifer is 37.9m, and the distance between No. 5 limestone aquifer and Ordovician limestone aquifer is 13.6m. The thickness of No. 5 limestone is 10.2m, while the thickness of the Ordovician limestone is more than 800m (Fig.3). Through geological and hydrogeological exploration data, it was found that there is a close relationship between No. 5 limestone aquifer and Ordovician limestone aquifer in Caozhuang Coalmine through faults. Figure4 shows the water level change curves of No. 5 limestone aquifer and Ordovician limestone aquifer during the test of releasing groundwater engineering carried out in April 1988, which indicates that the water level change characteristics of both aquifers are the same. Therefore, No. 5 limestone aquifer and Ordovician limestone aquifer are considered as the same aquifer. This conclusion is supported by water pressure data, where the water pressures of No. 5 limestone aquifer and Ordovician limestone aquifer, obtained from hydrological observation holes in the 81006 working face, are 1.70MPa and 1.84MPa, respectively, and the water pressure difference is approximately equal to the distance between No. 5 limestone and Ordovician limestone.

Backfill mining layout plans of 81006 working face.

Stratigraphic column of 81006 working face in Caozhuang Coalmine.

Relationship between water tables and release amount of water.

According to Regulations for Mine Water Prevention and Control24, we use water-inrush coefficient to judge whether water inrush from floor in 81006 working face happens. That is:

$$ T = frac{P}{M - C} $$

(1)

where T is water-inrush coefficient, MPa/m. P is water pressure of aquifer, MPa. M is the thickness of aquicludes, m. C is destroyed floor depth by underground pressure, m. The standard for the judge is T0.06MPa/m, water inrush, otherwise no water inrush.

According to Pillar Design and Mining Regulations under Buildings, Water, Rails and Major Roadways25, the destroyed floor depth by underground pressure (C) can be calculated with following equation:

$$ C = 0.0085H + 0.1665alpha + 0.1079L - 4.3579 $$

(2)

where H is mining depth, m. is dip angle of coal seam, . L is tilt width of working face, m.

Based on Eq. (2) and Eq. (1), we calculate the water-inrush coefficient of 81006 working face. Take H=518m, =20, L=120m into Eq. (2), get C=16.32m. Take P=1.70MPa, M=37.9m into Eq. (1), get T=0.08MPa/m. Since the water-inrush coefficient of 81006 working face is more than 0.06MPa/m, there would be water inrush from floor in 81006 working face if we do not take water prevention and control measures.

In Caozhuang Coalmine, glue material, coal gangue powder, and fly ash are used as backfill materials to create a paste-like filling in the goaf of 81006 working face. The proportion relationship of the three materials is 1.8:6:6, respectively. The fill slurry quality percentage concentration is 60% and the specific gravity is 1.56. Table 1 provides information on the intensities of the paste-like fill used in the No. 81006 working face of Caozhuang Coalmine.

The backfilling process in the 81006 working face of Caozhuang Coalmine uses gravity transportation. This means that the backfill slurry flows automatically through the feeding hole and pipelines to the underground working face goaf. The backfill orifice is located at an elevation of+114.4m, and the hole bottom elevation is 240m. The hole has a depth of 354.4m, while the working face's elevation ranges from 358.7 to 397.7m. The length of the backfill pipeline is 1850m, and the backfill height is 512m. The ratio between the pipe length and backfilling depth is 3.6.

The making material system in this project is composed of several components, including a crusher, a screening machine, a vertical hoist, 7 waste rock crushing material conveying belts, and a forklift truck. The crusher, screening machine, and vertical hoist have a capacity range of 100150 t/h. The finished size of the waste rock is less than 5mm, and the overall backfill capacity of the system is estimated to be 100120 t/h. This system is designed to efficiently process and transport the waste rock for use in the backfilling process of the working face.

The storage material system includes two fly ash silos with a volume of 200 m3, one glue material container with a volume of 100 m3, one coal gangue powder tank with a volume of 150 m3, one material storage shed with a volume of 3000 m3, four conveyor belts, and one loading forklift. Please refer to Figs. 5 and 6 for more information.

Mixing system of burdening.

Flow chart of crushing and screening.

The power and water supply system of the backfilling operation features a dedicated substation that includes two transformers with a capacity of 800 KVA and associated equipment. The incoming line voltage is 6kV, while the output line voltages are 380V and 220V. The total equipment load is 665 KW, with the crushing system accounting for 440 KW, the pulping system for 225 KW, and the control and lighting system for 25 KW. The water supply comprises a 500 m3 reservoir, five pumps, five pipelines, and one measuring control device. The backfill water source is underground sewage, which provides a water supply capacity of 200 m3/h.

The automatic control and measurement system comprises a master device, a centralized control device, 28 automatic control points, a pneumatic control device, 2 blenders, 4 screw conveyors, and 4 measuring control equipment.

The monitoring communication system comprises a TV monitor system, 16 cameras, two ground fixed telephones, five underground fixed telephones, and eight interphones.

The emergency disposal system comprises an emergency water tank, a rinse water pump, and a pressure fan.

The pipe conveyor system comprises a ground vertical borehole and an underground pipeline. A composite wear-resistant ceramic pipe, with a bore diameter of 14613mm and a length of 350m, is inserted into the ground vertical borehole. The underground pipeline is composed of composite wear-resistant ceramic pipes with a bore diameter of 1086mm and a length of 1850m. The pipeline is equipped with pressure gauges for monitoring.

The block slurry system in the working face is comprised of a block slurry drape and a block slurry wall along the roadway. The block slurry drape is made up of filter bags, while the block slurry wall is composed of block slurry cloths, steel plates, and dense pillars. In order to prevent the outflow of backfill slurry, the block slurry wall must be securely fixed and tightly connected to both the roof and the floor (as shown in Fig.7).

Backfill mining layout plans of working face.

To prevent backfill slurry outflow and reduce pressure on the gob side entry retaining, the roadway layout follows the coal seam tendency and up-dip mining is used as the advance mining method. The 81006 working face is divided into three inclined short wall working faces, namely 81006I, 81006II, and 81006III, to be mined and filled sequentially. 81006I has one cut and one air return way. Transport lane tunneling is not required before working face mining in 81006I, but during working face mining. Gob side entry retaining is utilized as the air return way for 81006II. A transport lane is situated in the middle of the 81006II and 81006III double-unit face. The ventilation mode used is "Z" type ventilation (Fig.2).

The mining methods employed in the project include the inclined short wall advancing mining method and high-grade general mining method. The shearer used is the DW-150 type, the scraper conveyor is the SGB-150C type, and the roof support consists of a single hydraulic prop with support that reverts to four ways back to one. The management of the roof is through the gangue slurry filling method. The coal seam is mined using the full-seam mining technique, with a cycle progression of 1m. The method of continuous mining and interval filling is adopted, where each working face is filled with 4m of material once it has advanced 4m.

The technological process of the mining operation includes drilling and charging, blasting, coal cutting, using a blasting pressure gun, loading coal with a loose machine, moving the scraper conveyor, building basic pillars, pulling the roof supports, fixing the grouting curtain blocks, withdrawing the last row of pillars, constructing the slurry retaining wall, backfilling, and solidifying the backfill material. To control the roof, the working face uses three or four rows of pillars, with a maximum control roof distance of 4.4m and a minimum control roof distance of 3.4m.

The mining process of the working face progresses every 4m, followed by the preparation and implementation of the gangue and slurry backfill. The backfilling process consists of several steps, including the preparation of the backfill, water filling for pigging, grouting the slurry, filling the gangue, additional grouting of the slurry, water injection, water filling for pigging, and finally, blowing the pipe with high-pressure wind.

The on-site sampling of rock cores is shown in Fig.8. The upper left core was taken to 29m from hole 2 on surface III, the upper right core was taken to 29m from hole 2 on surface II, the lower left core was taken to 16m from hole 1 on surface II, and the lower right core was taken to 16m from hole 1 on surface III.

The rock cores of filling material collected on site.

A cylindrical rock core is used as the standard sample, with a diameter of 50mm, a permissible variation range of 4854mm, a height of 100mm, and a permissible variation range of 95105mm. The standard rock cores of the filling material are shown in Fig.9. Among them, the lower left is at 16m from hole 1 on surface II, with specimen number A-1. The upper left is at 29m from hole 2 on surface II, with specimen number B-1. The lower right is at 16m from hole 1 on surface III, with specimen number C-1. The upper right is at 29m from hole 2 on surface III, with specimen numbers D-1 and D-2.

The standard rock cores of the filling material.

Calculation of the uniaxial compressive strength

The uniaxial compressive strength is computed by the following formula.

$$ sigma_{c} = frac{P}{A} $$

where c is the uniaxial compressive strength, MPa; P is the failure load, N; A is the cross-sectional area, mm2. The results are shown in Fig.10.

The results of the uniaxial compressive strength for A-1, B-1, C-1, D-1, D-2.

Calculation of the elastic modulus

The average elastic modulus is computed by the following formula.

$$ E_{av} = frac{{sigma_{b} - sigma_{a} }}{{varepsilon_{b} - varepsilon_{a} }} $$

where Eav is the average elastic modulus, MPa; b is the stress value at the endpoint of the straight line segment on the relationship curve between the stress and the strain, MPa; a is the stress value at the starting point of the straight line segment on the relationship curve between the stress and the strain, MPa; b is the longitudinal strain of the stress b; a is the longitudinal strain of the stress a. The relationship curves between the stress and the strain are shown in Fig.11, and the results of the elastic moduli for A-1, B-1, C-1, D-1, D-2 are shown in Fig.12.

The relationship curves between the stress and the strain for A-1, B-1, C-1, D-1, D-2.

The results of the elastic moduli for A-1, B-1, C-1, D-1, D-2.

It can be seen that there is not much difference in the density of the rock samples. The failure load and the uniaxial compressive strength of B-1 are significantly lower than other specimens. The elastic moduli of D-1 and D-2 are not significantly different due to being taken from the same rock core, but they are relatively low compared to other specimens. Due to size effects, the Poisson's ratios of D-1 and D-2 have a certain degree of dispersion. Considering that D-1 is close to the processing requirements of standard specimens, the Poisson's ratio of D-1 is used as the standard. The unidirectional compressive strength of the filling body in the 81006 working face is about 4.5 Mpa, and the elastic modulus E is 0.34 Gpa. The unidirectional compressive strength is greater than the designed strength value (3.0 Mpa), meeting the requirements.

We employ the downhole drilling section water injection method to determine the depth of destroyed floor in a working face, utilizing the double side seal borehole water injection device. This device is comprised of a control unit and instrumentation system located externally to the drilling operation, and a double-sided seal borehole water injection testing tube situated internally within the drilling mechanism (Fig.13).

Double side seal borehole water injection device.

The depth of destroyed coal seam floor is measured through section water injection in boreholes using the double side seal borehole water injection device. The process involves selecting suitable observation positions around the underground working face, such as mining roadways near the stopping line of the working face, and making oblique drilling towards the direction of the goaf floor. The amount of water loss is then measured in pieces using the double side seal borehole water injection device. The depth of destroyed coal seam floor is determined based on the leakage observed in the drill after coal mining.

Two connecting capsules are installed on both ends of the test tube, which remain in a state of static contraction and allow the test tube to be moved by the drill pipe into the borehole anywhere. The capsules can be expanded by injecting air from an underground high-pressure source through an air pressure regulating valve, an instrument, and a pressure hose to press against the borehole wall, forming a double-sided plugging borehole section with a length of 1m. Stable pressure water from an underground high-pressure water source is injected into the double-sided plugging borehole section through the drill pipe, regulating valve, and pressure flow meter. The water flow through fractures in the wall of the double-sided plugging borehole section can be measured by a water flow meter. According to hydrodynamic theory, when the water injection pressure is stable, the water injection flow rate depends on the rock permeability and the size of the fracture, i.e., water injection flow increases as the rock permeability coefficient and the degree of fracture development increase. The measured results indicate that, under the condition of a stable water injection pressure of 0.1MPa, if the coal floor strata are not destroyed by underground pressure, the water injection flow rate value for each 1m borehole section is less than 1 L/min, and may even tend to zero. Conversely, the water injection flow rate value is greater than 1 L/min in destroyed floor strata.

To determine the destroyed floor depth of the 81006 paste-like backfill working face, we conducted four drillings named d1, d2, d3, and d4 from the track roadway towards the goaf floor. d1 and d2 were at the same site, while d3 and d4 were at another site. The double side seal borehole water injection device was used to measure the destroyed depth of the coal seam floor. Table 2 shows the design parameters of the four drills, while Table 3 shows the measurement parameters of the drills.

Based on the data in Table 3, we have plotted Figs. 14 and 15 to illustrate the injected water loss amount of d1 and d2, and d3 and d4, respectively. As shown in the figures, the destroyed floor depths for d1, d2, d3, and d4 are 4.07m, 6.33m, 3.62m, and 4.33m, respectively. Thus, we can conclude that the maximum destroyed floor depth in the 81006 paste-like backfill working face is 6.33m.

Leakage of d1 and d2 drills in the 2nd drilling field of No. 81006 working face.

Leakage of d3 and d4 drills in the 1st drilling field of No. 81006 working face.

Based on Eq. (1), we can calculate the water-inrush coefficient of the 81006 paste-like backfill working face. By substituting P=1.70MPa, M=37.9m, and C=6.33m into Eq. (1), we obtain T=0.05MPa/m. Since the calculated water-inrush coefficient is less than 0.06MPa/m, it indicates that water inrush from the floor in the 81006 paste-like backfill working face is unlikely to occur.

Based on the "low four-zone theory" in China26, the strata in the goaf area between the mined coal seam and aquifer can be categorized into four zones: the destroyed zone caused by underground pressure, the new damaged zone, the original damaged zone, and the original confined water rising zone (Fig.16). The destroyed zone caused by underground pressure refers to the floor strata in which the rocks are severely damaged by underground pressure, resulting in a complete loss of water-resisting ability. The new damaged zone refers to the floor strata where rocks are damaged by underground pressure but still maintain their water-resisting ability. The original damaged zone refers to the floor strata where rocks are undamaged by underground pressure and have original water-resisting ability. The original confined water rising zone refers to the floor strata where the confined water in the aquifer rises along the original rock fracture. According to the theory of damage fracture mechanics, the floor strata between the coal seam and aquifer are in the original damaged state before coal seam mining. However, the stress concentration occurs after coal seam mining and leads to fractures in the original damaged zone, which extends to form the new damaged zone. As the working face advances, the underground pressure in the floor also increases, causing an additional increase in the thickness of the damage zone and a gradual decrease in the thickness of the original damage zone. When the fractures in the new damaged zone extend to crisscross and connect with each other, the destroyed zone caused by underground pressure begins to form. As the working face continues to advance and the underground pressure further increases, both the new damaged zone and destroyed zone caused by underground pressure gradually increase while the original confined water rising zone gradually decreases.

The model of lower four-zone theory.

According to low four-zone theory, the condition of water-inrush from floor is as follows:

If h30, then no water-inrush;

If h3=0, h20, and the aquifer pressure is less than compressive strength of new damaged zone, then no water-inrush;

If h3=0, h20, and the aquifer pressure is more than compressive strength of new damaged zone, then water-inrush;

If h3=0, h2=0, then water-inrush.

Preventing water-inrush from the floor is a crucial technology in coal mining, requiring the inhibition of the transformation of the original damaged zone into a new damaged one and the control of the evolution of the latter into a destroyed zone caused by underground pressure27. An effective approach to achieve this goal is the use of paste-like backfill in the working face, which can significantly reduce the concentration of underground pressure in the filled goaf. Measured data of stress changes in the filling body (Fig.17) confirm that about two months after the implementation of the paste-like backfill, stress meters 5# and 6# reached a stable state with stress values of 15.06MPa and 13.92MPa, respectively. These values are close to the original stress of 13.75MPa, indicating that the paste-like backfill can effectively support the weight of the overlying strata.

The stress changes of paste-like backfill mining.

Read more:

Preventing water-inrush from floor in coal working face with paste ... - Nature.com

We're a long way from 2020, when Cathie Wood turned heads as the co-founder CEO of the Ark Invest family of exchange-traded funds (ETFs). Most of the Ark funds more than doubled that year, only to fall sharply in 2021 and 2022. Wood is beating the market again in 2023, but there's been a little turbulence this summer.

Thankfully for Wood, she doesn't mind the volatility. She's often adding to some of her largest positions when they take a step back. She added to her existing stakes in Palantir Technologies(PLTR 0.93%), Teladoc Health(TDOC -2.75%), and Ginkgo Bioworks(DNA 1.14%)on Thursday. Let's take a closer look.

Shares of Palantir have taken a 31% hit since hitting a 52-week high last month, including a 5% decline on Thursday. Wood is feeling opportunistic. She bought more than 1 million shares of the software builder for the intelligence community on Thursday.

There wasn't a negative Palantir-specific development to trigger Thursday's markdown. The day actually began with another win for Palantir, announcing a five-year deal to provide its generative artificial intelligence (AI) platform to Houston-based investment manager CAZ Investments. Palantir's AI-powered solutions will help accelerate partner onboarding at CAZ and augment the firm's managerial work. It's another win in the financial sector, where Palantir has been able to expand its reach following its initial foothold doing government work.

Image source: Getty Images.

Palantir has its critics, given the controversial nature of its data-mining prowess, but it's still one of this year's biggest winners even after the recent correction since early August. The stock has still more than doubled in 2023, a popular choice for investors looking to play the AI hype responsible for many of this year's top gainers.

The good news is that Palantir is now profitable, but not to the point where the recent pullback is wooing value investors. This is still a growth company, even if top-line gains are decelerating for the third year in a row. There are naturally things far worse than being in the black and posting double-digit revenue growth.

Wood is obviously a fan. It's one of the few stocks that she owns in all six of her Ark Invest ETFs.

Teladoc is now one of Wood's 10 largest investments across all the Ark Invest funds, but it didn't earn its way up the chart. The telehealth services provider has been one of her biggest laggards, hitting another multiyear low on Thursday when the stock broke below $20 for the first time in more than six years. The stock is off a blistering 94% since hitting its high-water mark in early 2021.

Demand has slowed for Teladoc's platform, where folks can enter into a video consultation with a doctor, mental health professional, dietitian, or dermatologist to receive primary care. The pandemic-era limitations for in-office visitations are essentially over now. The business is still growing -- up 10% in its latest quarter -- but it's been nine consecutive reports of decelerating year-over-year gains on the top line.

Wood's been buying all the way down, but it makes sense. Teladoc's platform is no longer necessary, but it was a growing business even before the COVID-19 crisis accelerated its prospects. Patients save time and money on the platform. Employers appreciate not losing a key hire for a good chunk of the day for an in-office visit. The medical pros on the platform also have a way to generate incremental income.

With deficits narrowing, as long as revenue growth remains positive, it may not be long before Teladoc stops calling in sick as an investment.

Wood owns a thick slice of Ginkgo Bioworks, and her piece of the pie is getting bigger. She now owns more than 10% of total shares outstanding of the biosecurity and biofoundry specialist.

This is another stock that has seen better days. It's trading 89% below the all-time high it hit shortly after going public in 2021. It was a rock star back then. Revenue was skyrocketing as it helped with COVID-19 screenings at schools and airports. Unlike Teladoc, which is still finding ways to grow in 2023, Ginkgo has been fading.

Its most recent report was a dud, particularly when it came to Ginkgo's revised outlook. The $245 million to $260 million it's now targeting in revenue for all of 2023 is well below the $478 million it posted last year. The good news here is that analysts see revenue growth resuming next year.

Rick Munarriz has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Palantir Technologies and Teladoc Health. The Motley Fool has a disclosure policy.

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Cathie Wood Goes Bargain Hunting: 3 Stocks She Just Bought - The Motley Fool

Kawasaki Kisen Kaisha, Ltd. (K LINE), TIS Inc. (TIS) and Miotsukushi Analytics Inc. (Miotsukushi) have jointly developed a draft survey application, "K" Line said in its news release.

The application is designed to use artificial intelligence (AI) to recognize the water surface and the draft mark from the image captured with a smartphone and to display the accurate draft level with the impact of waves removed on the screen to help accurately measure the draft. At the end of July, the three companies jointly filed a patent application for this newly developed application.

The draft is measured to calculate the weight of cargo loaded onto dry bulk carriers. Today, it is done by crew members and surveyors using the naked eye. It is possible to survey the draft with the human eye. However, it is done at the anchorage, which in some ports may be susceptible to waves. There have been cases where draft measurements even by experienced maritime professionals display a greater margin of error than expected.

The jointly developed automatic draft survey application makes use of the AI and data analysis service offered by TIS and Miotsukushi and combines smartphones with the AI to supplement draft measurement that traditionally depended on the experience of maritime professionals with the AI. That helps equalize the degree of safety in navigation and cargo operations and maximize the cargo transportation volume.

At K LINE, digitalization is underway as a functional strategy for realizing the business strategy in the medium-term management plan announced in May 2022. With the use of data and digital technologies, K LINE will enhance the core values of safety, environmental conservation and quality in a bid to boost its competitiveness and corporate value.

About TIS Inc.TIS Inc., a member of TIS INTEC Group, is a business partner to more than 3,000 companies in various sectors, including finance, industry, public services, and distribution services. It provides IT to support growth strategies, tackling various management challenges faced by its customers. Leveraging the industry knowledge and IT development capabilities it has cultivated over more than 50 years, TIS aims to realize a prosperous society by providing IT services that have been cocreated with society and customers in Japan and Asian region.

About Miotsukushi Analytics Co., Ltd.Miotsukushi Analytics is a consulting firm that specializes in data analysis that combines statistics, machine learning, data mining, mathematical optimization and many other approaches with a focus on solving business problems. As a group of specialists that bring value to big data, it has an advantage not only in analytical processes but also in creating benefits for clients through the application of data sciences to business.

Read more:

Joint development of AI-powered automatic daft survey application - PortNews IAA

The Role

An exciting opportunity for a researcher exists in the School of Computing at Macquarie University. We are seeking a qualified Postdoctoral Research Fellow to join a team with an international reputation for producing high quality research outcomes in the area of Graph Neural Networks Theories and Applications.

You will undertake research related to the projects GNNs in Social Event Detection and Online Social Network Analysis. The successful applicant will be expected to supervise Higher Degree Research students as well as leading and collaborating on research projects in Computer Science. Candidates with relevant research experience in Graph Neural Networks, Graph Data Mining, Social Events and Missing Information are strongly encouraged to apply. The candidates with relevant research experience in AI/ML and cybersecurity are also encouraged to apply.

This position will be jointly supported by Macquarie University and Data61. The successful candidate will demonstrate an excellent track record in research, as well as personal and professional skills that can enable service and leadership contributions that will help to strengthen the academic impact and reputation. The successful applicant will work closely with Prof. Jian Yang, Prof. Michael Sheng and Dr Jia Wu in the School of Computing, Macquarie University, Sydney, Australia; also with Dr Surya Nepal, Dr Cecile Paris and Dr Sharif Abuadbba from Data61.

About Us

The Faculty of Science and Engineering is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of science and technology innovators. From a handful of students on the University's first day, the Faculty now serves nearly 6000 students across all our programs.

The School of Computing is the home of 43 academic staff and more than 100 research students, and an ever-growing cohort of undergraduates and postgraduate coursework students. The School offers a broad range of cutting edge undergraduate and postgraduate courses and enjoys a strong research ethos.

To Apply

To be considered for this position, applicants must address the selection criteria below, and attach your CV (including a list of two referees), a statement of research interests and achievements.

Selection Criteria

Enquiries: Professor Jian Yang at jian.yang@mq.edu.au or Dr Sharif Abuadbbaat sharif.abuadbba@data61.csiro.au

Applications close: Tuesday, 31 October 2023 at 11:59PM (AEST)

Diversity and Inclusion

Macquarie University's goal is to increase the proportion of women, Aboriginal and Torres Strait Islander peoples, and diverse peoples of all backgrounds in Science, Technology, Engineering, Mathematics and Medicine (STEMM) roles. Applications are considered holistically, and candidates are encouraged to apply even if they may not feel strong on every individual selection criterion. For more information, please visit our Equity, Diversity and Inclusion page https://staff.mq.edu.au/work/diversity-inclusion

Flexible Work

At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.

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Postdoctoral Research Fellow in Graph Neural Networks Theories ... - Times Higher Education